中文信息处理组－工作人员

 

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今天是：

        宗成庆 ，研究员，博士生导师，中国科学院大学岗位教授（A类），电气与电子工程师协会会士（IEEE Fellow），国际计算语言学学会会士（ACL Fellow），亚太人工智能学会会士（AAIA Fellow)，中国人工智能学会会士（CAAI Fellow），中国计算机学会会士（CCF Fellow）。
        他于1998年3月毕业于中国科学院计算技术研究所，获博士学位。 1998年5月至2000年4月在中国科学院自动化研究所模式识别国家重点实验室从事博士后研究，博士后出站后留在自动化所工作至今。 1999年和2001年两次在日本国际电气通信基础技术研究所（ATR）做客座研究员，2004年在法国信息与应用数学研究院（IMAG）做高访。 曾于2006年至2014年担任模式识别国家重点实验室副主任。
        他主要从事机器翻译、文本数据挖掘和语言认知计算等研究，作为项目负责人主持国家自然科学基金重点项目和国家重点研发计划重点专项等10余项，发表论文200余篇，出版学术专著三部、译著两部。 他是国际计算语言学学会(ACL)候任副主席、国际计算语言学委员会(ICCL)委员、中国中文信息学会副理事长，曾任亚洲自然语言处理学会(AFNLP)主席，国际顶级学术会议 ACL2015程序委员会主席和ACL2021大会主席。 荣获国家科技进步奖二等奖和北京市科学技术奖一等奖等多个省部级及国家一级学会的科技奖励，曾获北京市优秀教师、中科院优秀导师和国科大李佩教学名师奖等多种荣誉。 享受国务院特殊津贴。

  主要论著

      

    ◆ 专著、译著

  1. 宗成庆、赵阳、飞桨教材编写组，自然语言处理基础与大模型：案例与实践，清华大学出版社，2024.2 [封面]

  2. Chengqing Zong, Rui Xia, Jiajun Zhang. Text Data Mining. Springer Singapore, 2021. ISBN 978-981-16-0100-2 【https://www.springer.com/gp/book/9789811600999】

  3. 宗成庆，夏睿，张家俊，文本数据挖掘(第2版)，清华大学出版社, 2022.12 [封面]

  4. 宗成庆，夏睿，张家俊，文本数据挖掘，清华大学出版社，2019.5 [简介] 【第1次印刷的勘误表】

  5. 宗成庆，统计自然语言处理(第2版)，清华大学出版社, 2013.8 [内容简介](已被17次印刷)

  6. 宗成庆，统计自然语言处理(第1版)，清华大学出版社, 2008.5 [内容简介](共4次印刷，累计发行5700册)

  7. 张家俊，赵阳，宗成庆(译)，神经机器翻译，(原著：Philipp Koehn, Neural Machine Translation), 机械工业出版社, 2022.3 [封面]

  8. 宗成庆、张霄军(译)，统计机器翻译 (原著：Philipp Koehn, Statistical Machine Translation), 电子工业出版社, 2012.9 [封面 ]

    ◆ 论文
& 2024年

  1. Cong Ma, Xu Han, Linghui Wu, Yaping Zhang, Yang Zhao, Yu Zhou, and Chengqing Zong. Modal Contrastive Learning based End-to-End Text Image Machine Translation. IEEE/ACM Transactions on Audio, Speech, and Language Processing (IEEE/ACM TASLP), vol. 32, pp. 2153-2165, 2024, doi: 10.1109/TASLP.2023.3324540

  2. Donglei Yu, Xiaomian Kang, Yuchen Liu, Yu Zhou, Chengqing Zong. Self-Modifying State Modeling for Simultaneous Machine Translation. Proceedings of the 62st Annual Meeting of the Association for Computational Linguistics (ACL-2024). Bangkok, Thailand. pages 9781-9795.

  3. Chong Li, Wen Yang, Jiajun Zhang, Jinliang Lu, Shaonan Wang, Chengqing Zong. X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual Instructions. Findings of the 62st Annual Meeting of the Association for Computational Linguistics (ACL-2024, Findings). Bangkok, Thailand. pages 546-566.

  4. Chong Li, Shaonan Wang, Jiajun Zhang, Chengqing Zong. Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT-2024). Mexico City, Mexico. pages 8058-8076

  5. Yupu Liang, Yaping Zhang, Cong Ma, Zhiyang Zhang, Yang Zhao, Lu Xiang, Chengqing Zong, Yu Zhou. Document Image Machine Translation with Dynamic Multi-pre-trained Models Assembling. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT-2024). Mexico City, Mexico. pages 7084-7095.

  6. Junhong Wu, Yuchen Liu, Chengqing Zong. F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine Translation. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT-2024). Mexico City, Mexico. pages 7180–7192.

  7. Cong Ma, Yaping Zhang, Zhiyang Zhang, Yupu Liang, Yang Zhao, Yu Zhou, Chengqing Zong. Born a BabNet with Hierarchical Parental Supervision for End-to-End Text Image Machine Translation. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Torino ,Italia. pages 2468-2479.

  8. Cong Ma, Yaping Zhang, Yang Zhao, Yu Zhou, Chengqing Zong. Vector Quantization Knowledge Transfer for End-to-End Text Image Machine Translation. The 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP 2024). Banff, Alberta, Canada. pages 12471-12475.

& 2023年

  1. Haitao Lin, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, and Chengqing Zong. Topic-Oriented Dialogue Summarization. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), DOI: 10.1109/TASLP.2023.3271118

  2. Shaonan Wang, Yunhao Zhang, Weiting Shi, Guangyao Zhang, Jiajun Zhang, Nan Lin, and Chengqing Zong. A large dataset of semantic ratings and its computational extension. Scientific Data, https://doi.org/10.1038/s41597-023-01995-6

  3. Xiangyu Wang, Chengqing Zong. Learning Category Distribution for Text Classification. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), https://doi.acm.org?doi=3585279

  4. Feihu Jin, Jinliang Lu, Jiajun Zhang, Chengqing Zong. Instance-aware Prompt Learning for Language Understanding and Generation. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)

  5. Jinghui Yan, Chengqing Zong, Jinan Xu. Combination of Loss-Based Active Learning and Semi-Supervised learning for Recognizing Entities in Chinese Electronic Medical Records. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), https://doi.acm.org?doi=3588314

  6. Yang Zhao, Jiajun Zhang, Chengqing Zong. Transformer: A General Framework from Machine Translation to Others. Machine Intelligence Research, http://doi.org/10.1007/s11633-022-1393-5

  7. Rongchuan Tang, Yang Zhao, Chengqing Zong and Yu Zhou. Multilingual Knowledge Graph Completion with Language-Sensitive Multi-Graph Attention., In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL2023), pages 10508–10519, Toronto, Canada. Association for Computational Linguistics.

  8. Min Xiao, Junnan Zhu, Haitao Lin, Chengqing Zong and Yu Zhou. CFSum：A Coarse-to-Fine Contributions Network for Multimodal Summarization., In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL2023), pages 8538–8553, Toronto, Canada. Association for Computational Linguistics.

  9. Chong Li, Shaonan Wang, Yunhao Zhang, Jiajun Zhang, Chengqing Zong. Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning., In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec. 6-10, 2023, Singapore, pages 16460–16476.

  10. Feihu Jin, Jiajun Zhang, and Chengqing Zong. Parameter-efficient Tuning for Large Language Model without Calculating Its Gradients., TIn Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec. 6-10, 2023, Singapore, pages 321–330.

  11. Cong Ma, Yaping Zhang, Mei Tu, Yang Zhao, Yu Zhou, Chengqing Zong. CCIM: Cross-modal Cross- lingual Interactive Image Translation., In Findings of the Association for Computational Linguistics (EMNLP), Dec. 6-10, 2023, Singapore, pages 4959–4965.

  12. Zixuan Ren, YangZhao and Chengqing Zong. Towards Informative Open-ended Text Generation with Dynamic Knowledge Triples., In Findings of the Association for Computational Linguistics (EMNLP), Dec. 6-10, 2023, Singapore, pages 3189–3203.

  13. Zhiyang Zhang, Yaping Zhang, Yupu Liang, Lu Xiang, Yang Zhao, Yu Zhou, and Chengqing Zong. LayoutDIT: Layout-Aware End-to-End Document Image Translation with Multi-Step Conductive Decoder., In Findings of the Association for Computational Linguistics (EMNLP), Dec. 6-10, 2023, Singapore, pages 10043–10053.

  14. Cong Ma, Yaping Zhang, Mei Tu, Yang Zhao, Yu Zhou, Chengqing Zong. E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine Translation., In Proceedings of the 17th International Conference on Document Analysis and Recognition (ICDAR), August 21-26, 2023, California, USA, pages 70–88.

  15. Cong Ma, Yaping Zhang, Mei Tu, Yang Zhao, Yu Zhou, Chengqing Zong. Multi-teacher Knowledge Distillation for End-to-End Text Image Machine Translation., In Proceedings of the 17th International Conference on Document Analysis and Recognition (ICDAR), August 21-26, 2023, California, USA, pages 484–501.

  16. Yunhao Zhang, Shaonan Wang, Xinyi Dong, Jiajun Yu, Chengqing Zong. Navigating Brain Language Representations: A Comparative Analysis of Neural Language Models and Psychologically Plausible Models. Proceedings of the Annual Meeting of the Cognitive Science Society (CogSci-2023). pages 2449-2456.

  17. Yunhao Zhang, Shaonan Wang, Xinyi Dong, Jiajun Yu, Chengqing Zong. A Comprehensive Neural and Behavioral Task Taxonomy Method for Transfer Learning in NLP. Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings), Nusa Dua, Bali, pages 233–241.

  18. Zhiyang Zhang, Yaping Zhang, Lu Xiang, Yang Zhao, Yu Zhou, Chengqing Zong. A Novel Dataset and Benchmark Analysis on Document Image Translation., 第十九届全国机器翻译大会(CCMT)，2023年10月19-21日，济南，第103-115页.【获最佳论文奖】

  19. 刘宇宸，宗成庆， 跨模态信息融合的端到端语音翻译， 软件学报 (DOI：10.13328/j.cnki.jos.006413)，2023，34(4): 1837-1849

& 2022年

  1. Shaonan Wang, Yunhao Zhang, Xiaohan Zhang, Jingyuan Sun, Nan Lin, Jiajun Zhang, and Chengqing Zong. An fMRI Dataset for Concept Representation with Semantic Feature Annotations. Nature-Scientific Data, https://doi.org/10.1038/s41597-022-01840-2

  2. Shaonan Wang, Xiaohan Zhang, Jiajun Zhang, and Chengqing Zong. A synchronized multimodal neuroimaging dataset for studying brain language processing. Scientific Data, (2022) 9: 590.

  3. Qian Wang, Jiajun Zhang, Chengqing Zong. Synchronous Inference for Multilingual Neural Machine Translation[J]. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022, 30:1827-1839

  4. Yu Lu, Jiajun Zhang, Jiali Zeng, Shuangzhi Wu and Chengqing Zong. Attention Analysis and Calibration for Transformer in Natural Language Generation. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022, 30:1927-1938.

  5. Lu Xiang, Yang Zhao, Junnan Zhu, Yu Zhou, Chengqing Zong. Zero-Shot Language Extension for Dialogue State Tracking via Pre-Trained Models and Multi-Auxiliary-Tasks Fine-tuning. Knowledge-Based Systems, 259 (2023) 110015 (https://doi.org/10.1016/j.knosys.2022.110015)

  6. Sancheng Peng, Rong Zeng, Lihong Cao, Aimin Yang, Jianwei Niu, Chengqing Zong, Guodong Zhou. Multi-source domain adaptation method for textual emotion classification using deep and broad learning. Knowledge-Based Systems, 6 December 2022, https://doi.org/10.1016/j.knosys.2022.110173

  7. Rong Zeng, Hongzhan Liu, Sancheng Peng, Lihong Cao, Aimin Yang, Chengqing Zong, Guodong Zhou. CNN-Based Broad Learning for Cross-Domain Emotion Classification. TSINGHUA SCIENCE AND TECHNOLOGY, 12/15, 2022, pp360–369. DOI: 10.26599/TST.2022.9010007

  8. Xiaomian Kang, Yang Zhao, Jiajun Zhang, Chengqing Zong. Enhancing Lexical Translation Consistency for Document-Level Neural Machine Translation. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol.21, No.3, Article 59, pp 1–21, May 2022.

  9. Xiaohan Zhang, Shaonan Wang, Nan Lin and Chengqing Zong. Is the Brain Mechanism for Hierarchical Structure Building Universal Across Languages? An fMRI Study of Chinese and English. Conference on Empirical Methods in Natural Language Processing (EMNLP), December 7–11, 2022, Abu Dhabi. accepted

  10. Chen Wang, Yuchen Liu, Boxing Chen, Jiajun Zhang, Wei Luo, Zhongqiang Huang and Chengqing Zong. Discrete Cross-Modal Alignment Enables Zero-Shot Speech Translation. Conference on Empirical Methods in Natural Language Processing (EMNLP), December 7–11, 2022, Abu Dhabi. accepted

  11. Xiaohan Zhang, Shaonan Wang, and Chengqing Zong. How Does the Experimental Setting Affect the Conclusions of Neural Encoding Models? Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), pages 6397–6404, Marseille, 20-25 June 2022.

  12. Mei Li, Lu Xiang, Jiajun Zhang and Chengqing Zong. Dual-View Conditional Variational Auto-Encoder for Emotional Dialogue Generation. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol.21, No.3, Article 46, pp 1–18, May 2022.

  13. Jian Sun, Yu Zhou, Chengqing Zong. One-shot Relation Learning for Knowledge Graphs via Neighborhood Aggregation and Paths Encoding. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol.21, No.3, Article 52, pp 1–19, May 2022.

  14. Xiaohan Zhang, Shaonan Wang, Nan Lin, Jiajun Zhang, Chengqing Zong. Probing Word Syntactic Representations in the Brain by a Feature Elimination Method. In Proceedings of the 2022 AAAI Conference on Artificial Intelligence, Virtual Conference. Feb. 22-Mar. 1, 2022(online).

  15. Jian Sun, Yu Zhou, Chengqing Zong. Learning to Select the Next Reasonable Mention for Entity Linking. AAAI Workshop on Knowledge Discovery from Unstructured Data in Financial Services 2022, Vancouver, Canada, February 22-March1, 2022(online).

  16. Shuxian Zou, Shaonan Wang, Jiajun Zhang, Chengqing Zong. Cross-Modal Cloze Task: A New Task to Brain-to-Word Decoding. Findings of the Association for Computational Linguistics: ACL 2022, pages 648 - 657, May 22-27, 2022.

  17. Haitao Lin, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang and Chengqing Zong. Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022)

  18. 王少楠，丁鼐，林楠，张家俊，宗成庆， 语言认知与语言计算–人与机器的语言理解， 中国科学: 信息科学，2022，52(10): 1748-1774

  19. 亢晓勉，宗成庆， 基于篇章结构多任务学习的神经机器翻译， 软件学报，2022，33(10): 3806-3818

  20. 黄鑫，张家俊，宗成庆， 基于跨模态实体信息融合的神经机器翻译方法， 自动化学报，2023，49(1): 1−11 doi: 10.16383/j.aas.c220230

  21. 向露，周玉，宗成庆， 基于中英文单语术语库的双语术语对齐方法[J]. 中国科技术语，2022，24(1):12，pp.14-25.

& 2021年

  1. Mei Li, Lu Xiang, Xiaomian Kang, Yang Zhao, Yu Zhou and Cchengqing Zong. Medical Term and Status Generation From Chinese Clinical Dialogue With Multi-Granularity Transformer. IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 29, pp. 3362-3374, 2021, doi: 10.1109/TASLP.2021.3122301.

  2. Lu Xiang, Junnan Zhu, Yang Zhao, Yu Zhou and Chengqing Zong. Robust Cross-lingual Task-oriented Dialogue. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 20, No. 6, Article 93, 24 pages, July 2021.

  3. Hao He, Qian Wang, Zhipeng Yu, Yang Zhao, Jiajun Zhang and Chengqing Zong. Synchronous Interactive Decoding for Multilingual Neural Machine Translation. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), February 2-9, 2021, 35(14): 12981-12988.

  4. Xiangyu Wang and Chengqing Zong. Distributed Representations of Emotion Categories in Emotion Space. The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand. August 1-6, 2021 (online), pp.2364--2375

  5. Haitao Lin, Lu Xiang, Yu Zhou, Jiajun Zhang and Chengqing Zong. Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models. INTERSPEECH 2021, Brno, Czechia. 30 August - 3 September 2021 (online), pp.4703-4707

  6. Xin Huang, Jiajun Zhang and Chengqing Zong. Entity-level Cross-modal Learning Improves Multi-modal Machine Translation. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing(EMNLP), Punta Cana, Dominican Republic. Nov. 7-11, 2021, pages 1067–1080

  7. Haitao Lin, Liqun Ma, Junnan Zhu, Lu Xiang, Yu Zhou,Jiajun Zhang, and Chengqing Zong. CSDS: A fine-grained Chinese dataset for customer service dialogue summarization. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing(EMNLP), Punta Cana, Dominican Republic. Nov. 7-11, 2021, pages 4436–4451

  8. Lu Xiang, Yang Zhao, Junnan Zhu, Yu Zhou, and Chengqing Zong. Zero-Shot Deployment for Cross-Lingual Dialogue System. In Proceedings of the 10th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC-2021), Qingdao, China, October 13-17, 2021

  9. Shuxian Zou, Shaonan Wang, Jiajun Zhang, Chengqing Zong. Towards Brain-to-Text Generation: Neural Decoding with Pre-trained Encoder-Decoder Models. NeurIPS 2021 AI for Science Workshop. December 6 - 14, 2021(online).

  10. 向露，朱军楠，周玉，宗成庆， 基于多粒度对抗训练的鲁棒跨语言对话系统， 自动化学报，2021,47(8): 1855−1866.

  11. 陈仲豪，朱军楠，向露，周玉，宗成庆， 面向中文微博的情绪-原因对抽取数据集构建及分析研究， 中文信息学报，已录用.

& 2020年

  1. Jingyuan Sun, Shaonan Wang, Jiajun Zhang and Chengqing Zong. Neural Encoding and Decoding with Distributed Sentence Representations, IEEE Transactions on Neural Networks and Learning Systems, Vol.32, No.2, pp.589-603, 2020.

  2. Jiajun Zhang, Long Zhou, Yang Zhao and Chengqing Zong. Synchronous bidirectional inference for neural sequence generation. Artificial Intelligence, 281(2020)103234, pp.1-19

  3. Shaonan Wang, Jiajun Zhang, Haiyan Wang, Nan Lin and Chengqing Zong. Fine-grained Neural Decoding with Distributed Word Representations. Information Sciences, 507 (2020) 256–272

  4. Kexin Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, and Chengqing Zong. Structurally-Comparative Hinge Loss for Dependency-based Neural Text Representation. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 19, No. 4, Article 58, May 2020.

  5. Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong and Xiaodong He. Keywords-Guided Abstractive Sentence Summarization. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence（AAAI）, New York, USA,  Feb. 7-12, 2020, pp. 8196-8203

  6. Yuchen Liu, Jiajun Zhang, Hao Xiong, Long Zhou, Zhongjun He, Hua Wu, Haifeng Wang and Chengqing Zong. Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence（AAAI）, New York, USA,  Feb. 7-12, 2020, pp. 8417-8424

  7. Shaonan Wang, Jiajun Zhang, Nan Lin and Chengqing Zong. Probing Brain Activation Patterns by Dissociating Semantics and Syntax in Sentences. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence（AAAI）, New York, USA, Feb. 7-12, 2020, pp. 9201-9208

  8. Junnan Zhu, Yu Zhou, Jiajun Zhang, Haoran Li, Chengqing Zong and Changliang Li. Multimodal Summarization with Guidance of Multimodal Reference. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence（AAAI）, New York, USA,  Feb. 7-12, 2020, pp. 9749-9756

  9. Yang Zhao, Jiajun Zhang, Yu Zhou and Chengqing Zong. Knowledge Graphs Enhanced Neural Machine Translation. In Proceedings of the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), Yokohama, Japan, July 11-17, 2020, pp. 4039-4045

  10. Junnan Zhu, Yu Zhou, Jiajun Zhang, and Chengqing Zong. Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), Online, July 5-July 10, 2020, pp. 1309-1321.

  11. Xiaomian Kang, Yang Zhao, Jiajun Zhang and Chengqing Zong. Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 16th – 20th, 2020, pp. 2242-2254

  12. Jinghui Yan, Yining Wang, Lu Xiang, Yu Zhou and Chengqing Zong, A Knowledge-driven Generative Model for Multi-implication Chinese Medical Procedure Entity Normalization. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 16th – 20th, 2020,pp. 1-11, pp. 1490-1499

  13. Yang Zhao, Lu Xiang, Junnan Zhu, Jiajun Zhang, Yu Zhou and Chengqing Zong. Knowledge Graph Enhanced Neural Machine Translation via Multi-task Learning on Sub-entity Granularity. In Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain (Online), December 8-13, 2020, pp. 4495–4505.

  14. Jian Sun, Yu Zhou, chengqing Zong. Dual Attention Network for Cross-lingual Entity Alignment. In Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), Barcelona, Spain (Online), December 8-13, 2020, pp. 3190-3201

  15. Jingyuan Sun, Shaonan Wang, Jiajun Zhang, and Chengqing Zong. Distill and Replay for Continual Language Learning. In Proceedings of the 28th International Conference on Computational Linguistics(COLING 2020), Online, December 8-13, 2020, pp. 3569-3579

  16. Haoran Li, Junnan Zhu, Jiajun Zhang, Xiaodong He and Chengqing Zong. Multimodal Sentence Summarization via Multimodal Selective Encoding. In Proceedings of the 28th International Conference on Computational Linguistics(COLING 2020), Online, December 8-13, 2020, pp. 5655-5667

  17. Qian Wang, Jiajun Zhang, Lemao Liu, Guoping Huang and Chengqing Zong, Touch Editing: A Flexible One-Time Interaction Approach for Translation. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) and the 10th International Joint Conference on Natural Language Processing (IJCNLP), December 4–7, 2020,  pp. 1-11

  18. 宗成庆， 人类语言技术展望， 中国人工智能学会通讯，2020年第10卷第1期，第1-5页

  19. 杜倩龙，宗成庆，苏克毅， 利用上下文相似度增强词对齐效果的自然语言推理方法， 智能科学与技术学报，2020, 2(1): 26-35

  20. 亢晓勉，宗成庆，融合篇章结构位置编码的神经机器翻译， 智能科学与技术学报，2020, 2(2): 144-152

& 2019年

  1. Long Zhou, Jiajun Zhang, Chengqing Zong. Synchronous Bidirectional Neural Machine Translation, Transactions of Association for Computational Linguistics (TACL), Vol. 7, pp. 91-105, 2019.

  2. Jiajun Zhang, Yang Zhao, Haoran Li and Chengqing Zong. Attention with Sparsity Regularization for Neural Machine Translation and Summarization. IEEE/ACM Transactions on Audio, Speech and Language Processing, Vol. 27, No.3, pp. 507-518, 2019.

  3. Haoran Li, Junnan Zhu, Cong Ma, Jiajun Zhang and Chengqing Zong. Read, Watch, Listen and Summarize: Multi-modal Summarization for Asynchronous Text, Image, Audio and Video. Transactions on Knowledge and Data Engineering (TKDE), Vol. 31, No. 5, May 2019, Pages 996-1009.  Print ISSN: 1041-4347, Online ISSN: 1041-4347, Digital Object Identifier:   10.1109/TKDE.2018.2848260

  4. Guoping Huang, Jiajun Zhang, Yu Zhou and Chengqing Zong. Input Method for Human Translators: a Novel Approach to Integrate Machine Translation Effectively and Imperceptibly. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP),Vol.18,No.1, Article 4, 22pages, January2019

  5. Yang Zhao, Jiajun Zhang, Chengqing Zong, Zhongjun He, and Hua Wu. Addressing the Under-translation Problem from the Entropy Perspective. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, USA, January 27-February 1, 2019, pp.451-458

  6. Junjie Li, Haoran Li and Chengqing Zong. 2019. Towards Personalized Review Summarization via User-aware Sequence Network. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, USA, January 27th – February 1st, 2019,Vol. 33,  pp. 6690-6697

  7. Jingyuan Sun, Shaonan Wang, Jiajun Zhang and Chengqing Zong. Towards Sentence-Level Brain Decoding with Distributed Representations. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, USA, January 27th – February 1st, 2019,Vol. 33,  pp. 7047-7054

  8. Long Zhou, Jiajun Zhang, Chengqing Zong, and Heng Yu. Sequence Generation: from Both Sides to the Middle. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, August 10-16, 2019, pp.5471-5477

  9. Weikang Wang, Jiajun Zhang, Qian Li, Mei-Yuh Hwang, Chengqing Zong and Zhifei Li. Incremental Learning from Scratch for Task-Oriented Dialogue Systems. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July 28-August 2, 2019, pp.3710-3720

  10. Yining Wang, Long Zhou, Jiajun Zhang, Feifei Zhai, Jingfang Xu and Chengqing Zong. A Compact and Language-Sensitive Multilingual Translation Method. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July 28th-August 2nd, 2019, pp.1213-1223

  11. He Bai, Yu Zhou, Jiajun Zhang and Chengqing Zong. Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, July 28 - August 2, 2019, pp.5448-5453

  12. Junjie Li, Xuepeng Wang, Dawei Yin and Chengqing Zong. Attribute-aware Sequence Network for Review Summarization. In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP- IJCNLP), November 3–7, Hong Kong, China, 2019, pp.2991-3001

  13. Weikang Wang, Jiajun Zhang, Qian Li, Chengqing Zong and Zhifei Li. Are You for Real? Detecting Identity Fraud via Dialogue Interactions. In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP- IJCNLP), November 3–7, Hong Kong, China, 2019, pp.1762-1771

  14. Yining Wang, Jiajun Zhang, Long Zhou, Yuchen Liu and Chengqing Zong. Synchronously Generating Two Languages with Interactive Decoding. In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP- IJCNLP), November 3–7, Hong Kong, China, 2019, pp.3341-3346

  15. Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, and Chengqing Zong. NCLS: Neural Cross-Lingual Summarization. In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP- IJCNLP), November 3–7, Hong Kong, China, 2019, pp.3045-3055

  16. Yuchen Liu, Hao Xiong, Jiajun Zhang, Zhongjun He, Hua Wu, Haifeng Wang and Chengqing Zong. End-to-End Speech Translation with Knowledge Distillation. In Proceedings of the 20th Annual Conference of the International Speech Communication Association (Interspeech), Graz, Austria, September 15-19, 2019, pp.1128-1132

  17. Yang Liu, Kun Wang, Chengqing Zong, Keh-Yih Su, A unified framework and models for integrating translation memory into phrase-based statistical machine translation, Computer Speech & Language, Volume 54, 2019, Pages 176-206.

& 2018年

  1. Shaonan Wang, Jiajun Zhang and Chengqing Zong. Empirical Exploring Word-Character Relationship for Chinese Sentence Representation. ACM Transactions on Asian Language and Low-Resource Language Information Processing (TALLIP), Vol. 17, No. 3, Article 14, 18 pages, January 2018.

  2. Junjie Li, Haoran Li, Xiaomian Kang, Haitong Yang and Chengqing Zong. Incorporating Multi-level User Preference into Document-level Sentiment Classification. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 18, No. 1, Article 7, 17 pages, November 2018

  3. Shaonan Wang, Jiajun Zhang and Chengqing Zong. Associative Multichannel Autoencoder for Multimodal Word Representation. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October 31st–November 4th, 2018, pp. 116-124

  4. Junnan Zhu, Haoran Li, Tianshang Liu, Yu Zhou, Jiajun Zhang and Chengqing Zong.MSMO: Multimodal Summarization with Multimodal Output.In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing(EMNLP), Brussels, Belgium, October 31st–November 4th, 2018, pp. 4154-4164

  5. Yining Wang,Jiajun Zhang, Feifei Zhai, Jingfang Xu and Chengqing Zong.Three Strategies to Improve One-to-Many Multilingual Translation.In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing(EMNLP), Brussels, Belgium, October 31st–November 4th, 2018,pp. 2955-2960

  6. Jingyuan Sun, Shaonan Wang and Chengqing Zong. Memory, Show the Way: Memory Based Few Shot Word Representation Learning. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October 31st–November 4th, 2018, pp. 1435-1444

  7. Weikang Wang, Jiajun Zhang, Han Zhang, Mei-Yuh Hwang, Chengqing Zong and Zhifei Li. A Teacher-Student Framework for Maintainable Dialog Manager. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October 31st–November 4th, 2018, pp. 3803-3812

  8. Yang Zhao, Jiajun Zhang, Zhongjun He, Chengqing Zong, and Hua Wu. Addressing troublesome words in neural machine translation. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, October 31st–November 4th, 2018,pp. 391-400

  9. Haoran Li, Jiajun Zhang and Chengqing Zong. Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization. In Proceedings of the 27th International Conference on Computational Linguistics (COLING), Santa Fe, New-Mexico, USA, August 20th-26th, 2018, pp.1430-1441

  10. Junjie Li, Haitong Yang and Chengqing Zong. Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall Ratings. In Proceedings of the 27th International Conference on Computational Linguistics (COLING), Santa Fe, New-Mexico, USA, August 20th-26th, 2018, pp. 925-936

  11. Qianlong Du, Keh-Yih Su and Chengqing Zong. Adopting the Word-Pair-Dependency-Triplets with Individual Comparison for Natural Language Inference. In Proceedings of the 27th International Conference on Computational Linguistics (COLING), Santa Fe, New-Mexico, USA, August 20th-26th, 2018, pp.414-425

  12. He Bai, Jiajun Zhang, Yu Zhou, Liang Zhao, Mei-Yuh Hwang and Chengqing Zong. Source Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language. In Proceedings of the 27th International Conference on Computational Linguistics (COLING), Santa Fe, New-Mexico, USA, August 20th-26th, 2018, pp.3597-3607

  13. Yang Zhao, Yining Wang, Jiajun Zhang and Chengqing Zong. Phrase Table as Recommendation Memory for Neural Machine Translation, the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI)，Stockholm, Sweden, July 13-19, 2018, pp. 4610-4615

  14. Haoran Li, Junnan Zhu, Tianshang Liu, Jiajun Zhang, and Chengqing Zong. Multi-modal Sentence Summarization with Modality Attention and Image Filtering, In Proceedings of the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI)，Stockholm, Sweden, July 13-19, 2018, pp. 4152-4158

  15. Shaonan Wang, Jiajun Zhang, Nan Lin and Chengqing Zong. Investigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-based Componential Semantics. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, pp. 5964-5972

  16. Shaonan Wang, Jiajun Zhang and Chengqing Zong. Learning Multimodal Word Representation via Dynamic Fusion Methods. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, pp. 5973-5980

  17. Yuchen Liu, Long Zhou, Yining Wang, Yang Zhao, Jiajun Zhang and Chengqing Zong. A Comparable Study on Model Averaging, Ensembling and Reranking in NMT. In Proceedings of the Seventh Conference On Natural Language Processing and Chinese Computing (NLPCC-2018)，Hohhot, China, August, 26-30, 2018, pp. 299-308

  18. Jinghui Yan, Jiajun Zhang, Jinan Xu and Chengqing Zong, The Impact of Named Entity Translation for Neural Machine Translation, In Proceedings of China Workshop on Machine Translation CWMT. 2018, October 25-26, 2018, Wuyishan, China

  19. Xiaoqing Li, Jinghui Yan, Jiajun Zhang and Chengqing Zong, Neural Name Translation Improves Neural Machine Translation, In Proceedings of China Workshop on Machine Translation CWMT 2018, October 25-26, 2018, Wuyishan, China

  20. 李俊杰，宗成庆.融合用户信息和评价对象信息的文本情感分类. 厦门大学学报（自然科学版），2018，57(6)：876-883.

  21. 刘宇宸，闫璟辉，张家俊，宗成庆. 第十四届机器翻译研讨会中科院自动化所技术报告. 2018. 第十四届全国机器翻译研讨会论文集.

& 2017年

  1. Haoran Li, Jiajun Zhang and Chengqing Zong. Implicit Discourse Relation Recognition for English and Chinese with Multiview Modeling and Effective Representation Learning. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol.16, No. 3, Article 19, 21 pages, March 2017.

  2. Shaonan Wang and Chengqing Zong. Comparison Study on Critical Components in Composition Model for Phrase Representation, ACM Transactions on Asian Language and Low-Resource Language Information Processing (TALLIP), Vol. 16, No. 3, Article 16, 25 pages, January 2017. Please see the source code and data from the website: https://github.com/wangshaonan/Phrase-representation/ or directly download the source code and data here. In case there is any problem, please feel free to contact Ms. Shaonan Wang by using her e-mail account: shaonan.wang@nlpr.ia.ac.cn.

  3. Haoran Li, Junnan Zhu, Cong Ma, Jiajun Zhang and Chengqing Zong. Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-17), Copenhagen, Denmark. September 9-11, 2017, pp. 1103--1113

  4. Shaonan Wang, Jiajun Zhang and Chengqing Zong. Exploiting Word Internal Structures for Generic Chinese Sentence Representation. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP), Copenhagen, Denmark, September 9-11, 2017, pp.298-303

  5. Shaonan Wang, Jiajun Zhang and Chengqing Zong. Learning Sentence Representation with Guidance of Human Attention. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, August 19-25, 2017, pp. 4137-4143

  6. Huijia Wu, Jiajun Zhang and Chengqing Zong, A Dynamic Window Network for CCG Supertagging, In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI-17), California, USA, February 4–9, 2017, pages 3337-3343

  7. Long Zhou, Wenpeng Hu, Jiajun Zhang and Chengqing Zong. Neural System Combination for Machine Translation. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL2017),Vancouver, Canada, July 30-August 4, 2017, pp. 378-384.

  8. Long Zhou, Jiajun Zhang and Chengqing Zong. Look-ahead Attention for Generation in Neural Machine Translation. In Proceedings of the Sixth Conference On Natural Language Processing and Chinese Computing (NLPCC-2017)，Dalian, China, November, 8-12, 2017. (Best Paper Award)

  9. Junnan Zhu, Long Zhou, Haoran Li, Jiajun Zhang, Yu Zhou and Chengqing Zong. Augmenting Neural Sentence Summarization through Extractive Summarization. In Proceedings of the 6th Conference on Natural Language Processing and Chinese Computing (NLPCC-2017), Dalian, China, November 8-12, 2017.

  10. Yining Wang, Yang Zhao，Jiajun Zhang and Chengqing Zong. Towards Neural Machine Translation with Partially Aligned Corpora. In Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP), Taipei, Taiwan, November 27 - December 1, 2017, pp. 384-393

  11. Yang Zhao, Yining Wang, Jiajun Zhang and Chengqing Zong. Cost-aware Learning Rate for Neural Machine Translation. In Proceedings of the Sixteenth China National Conference on Computational Linguistics, (CCL 2017), Nanjing, China, October 13-15, 2017

  12. Chuanhai Dong, Huijia Wu, Jiajun Zhang and Chengqing Zong.Multichannel LSTM-CRF for Named Entity Recognition in Chinese Social Media.In Proceedings of the Sixteenth China National Conference on Computational Linguistics, (CCL 2017), Nanjing, China, October 13-15, 2017, pp.197-208

  13. Yang Liu, Jiajun Zhang and Chengqing Zong. Memory Augmented Attention Model for Chinese Implicit Discourse Relation Recognition. In Proceedings of the Sixteenth China National Conference on Computational Linguistics, (CCL 2017), Nanjing, China, October 13-15, 2017, pp. 411-423

  14. 周龙，王亦宁，赵阳，张家俊，宗成庆. 第十三届机器翻译研讨会中科院自动化所技术报告. 2017. 第十三届全国机器翻译研讨会论文集.

& 2016年

  1. Jiajun Zhang, Yu Zhou and Chengqing Zong. Abstractive Cross-Language Summarization via Translation Model Enhanced Predicate Argument Structure Fusing. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2016, 24(10): 1842-1853

  2. Haitong Yang and Chengqing Zong. Learning Generalized Features for Semantic Role Labeling. ACM Transactions on Asian Language and Low-Resource Language Information Processing (TALLIP), Vol.15, No.4, Article 28, April 2016

  3. Xiaoqing Li, Jiajun Zhang and Chengqing Zong. Towards Zero Unknown Word in Neural Machine Translation. In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16), New York, USA, July 12-15, 2016, pp. 2852-2858

  4. Jiajun Zhang and Chengqing Zong. Exploiting Source-side Monolingual Data in Neural Machine Translation, In Proceedings of 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1535–1545, Austin, Texas, USA, November 1-5, 2016

  5. Huijia Wu, Jiajun Zhang and Chengqing Zong. An Empirical Exploration of Skip Connections for Sequential Tagging. In Proceedings of the 26th International Conference on Computational Linguistics (COLING), Osaka, Japan, December 11-16, 2016, pp.203-212

  6. Xiaomian Kang, Haoran Li, Long Zhou, Jiajun Zhang and Chengqing Zong. An End-to-End Chinese Discourse Parser with Adaptation to Explicit and Non-explicit Relation Recognition. In Proceedings of the Twentieth Conference on Computational Natural Language Learning (CoNLL): Shared Task. Berlin, Germany, August 11-12, 2016, pages 27-32

  7. Yang Liu, Jiajun Zhang, Chengqing Zong, Yating Yang, and Xi Zhou. A Bilingual Discourse Corpus and Its Applications. In 10th edition of the Language Resources and Evaluation Conference (LREC), Portorož, Slovenia, 23-28 May 2016, pp. 1002-1007

  8. Qianlong Du, Chengqing Zong and Keh-Yih Su. Intergrating Structural Context and Local Context for Disambiguating Word Senses. In Proceedings of the Fifth Conference On Natural Language Processing and Chinese Computing & The Twenty Fourth International Conference On Computer Processing of Oriental Languages(NLPCC-ICCPOL 2016)，Kunming, China, December 2-6, 2016, pp. 3-15

  9. Chuanhai Dong, Jiajun Zhang, Chengqing Zong, Masanori Hattori and Hui Di. Character-Based LSTM-CRF with Radical-Level Features for Chinese Named Entity Recognition. In Proceedings of The Fifth Conference on Natural Language Processing and Chinese Computing & The Twenty Fourth International Conference on Computer Processing of Oriental Languages(NLPCC-ICCPOL), December 2-6, 2016, Kunming, China，pp. 239–250

  10. Junjie Li, Haitong Yang and Chengqing Zong. Sentiment Classification of Social Media Text Considering User Attributes. In Priceedings of the Fifth Conference On Natural Language Processing and Chinese Computing & The Twenty Fourth International Conference On Computer Processing of Oriental Languages(NLPCC-ICCPOL 2016)，Kunming, China, December 2-6, 2016,pp.583-594

  11. Guoping Huang, Jiajun Zhang, Yu Zhou, Chengqing Zong. A Simple, Straightforward and Effective Model for Joint Bilingual Terms Detection and Word Alignment in SMT. In Proceedings of the Fifth Conference on Natural Language Processing and Chinese Computing & The Twenty Fourth International Conference on Computer Processing of Oriental Languages (NLPCC 2016).pp.103-115

  12. Guoping Huang, Jiajun Zhang, Yu Zhou, Chengqing Zong. MinKSR: Learning from User Feedback for Machine Translation in Real-Time. In Proceedings of the Fifth Conference on Natural Language Processing and Chinese Computing & The Twenty Fourth International Conference on Computer Processing of Oriental Languages (NLPCC 2016), pp.595-607

  13. Haoran Li, Jiajun Zhang, Yu Zhou and Chengqing Zong. GuideRank: A Guided Ranking Graph Model for Multilingual Multi-document Summarization. In Proceedings of the Fifth Conference on Natural Language Processing and Chinese Computing & The Twenty Fourth International Conference on Computer Processing of Oriental Languages(NLPCC-ICCPOL 2016), Kunming, China, December 2-6, 2016, pp. 608-620

  14. Haoran Li, Jiajun Zhang, Yu Zhou and Chengqing Zong. Predicting Implicit Discourse Relation with Multi-view Modeling and Effective Representation Learning. In Proceedings of the Fifth Conference on Natural Language Processing and Chinese Computing & The Twenty Fourth International Conference on Computer Processing of Oriental Languages(NLPCC-ICCPOL 2016), Kunming, China, December 2-6, 2016, pp.374-386

  15. 宗成庆，中文信息处理研究现状分析，语言战略研究，2016年第6期，第19-26页

  16. 王少楠，宗成庆. 一种基于双通道LDA模型的汉语词义表示与归纳方法. 计算机学报，2016年8月，第39卷，第8期，第1652-1666页

  17. 吴惠甲，张家俊，宗成庆. 基于神经语言模型的范畴标注方法. 软件学报，2016年11月，第27卷，第11期，第2691-2700页

& 2015年

  1. Haitong Yang, Yu Zhou and Chengqing Zong. Bilingual Semantic Role Labeling Inference via Dual Decomposition. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 15, No. 3, Article 15, December 2015, 21 pages

  2. Mei Tu, Yu Zhou and Chengqing Zong. Exploring Diverse Features for Statistical Machine Translation Model Filtering. IEEE/ACM Transactions on Audio, Speech and Language Processing (ASLP), Vol. 23, No.11, November 2015, pp.1847-1857

  3. Jiajun Zhang and Chengqing Zong. Deep Neural Networks in Machine Translation: An Overview. IEEE Intelligent Systems, 30(5), 2015, pp. 16-25

  4. Rui Xia, Feng Xu, Chengqing Zong, Qianmu Li, Yong Qi, and Tao Li. Dual Sentiment Analysis: Considering Two Sides of One Review. IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 27, No. 8, August 2015, pp. 2120-2133

  5. Haitong Yang, Tao Zhuang and Chengqing Zong. Domain Adaptation for Syntactic and Semantic Dependency Parsing Using Deep Belief Networks. Transactions of Association for Computational Linguistics (TACL), Vol. 3, pp. 271-282, 2015

  6. Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou and Chengqing Zong. Towards Machine Translation in Semantic Vector Space, ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 14, No. 2 (March 2015), Article 9, 26 pages

  7. Xiaoqing Li, Chengqing Zong and Keh-Yih Su. A Unified Model for Solving the OOV Problems of Chinese Word Segmentation, ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Vol. 14, No. 3 (June 2015), Article 12, 29 pages

  8. Guoping Huang, Jiajun Zhang, Yu Zhou, Chengqing Zong. A New Input Method for Human Translators: Integrating Machine Translation Effectively and Imperceptibly. In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, 25 July - 1 August 2015, pp. 1163-1169

  9. Haoran Li, Jiajun Zhang, and Chengqing Zong. Predicting Implicit Discourse Relations with Purely Distributed Representations. In Proceedings of the joint conference of the Fourteenth China National Conference on Computational Linguistics (CCL) and the Third International Symposium on Natural Language Processing based on Naturally Annotated Big Data (NLP-NABD), Guangzhou, China, Nov. 13-14, 2015, pp.293-305

  10. 汪昆，宗成庆，苏克毅，统计机器翻译和翻译记忆的动态融合方法研究，中文信息学报，2015年3月，第29卷，第2期，第87-94页

  11. 张志琳，宗成庆，基于多样化特征的中文微博情感分类方法研究，中文信息学报，2015年7月，第29卷，第4期，第134-143页
& 2014年

  1. Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou and Chengqing Zong. Mind the Gap: Machine Translation by Minimizing the Semantic Gap in Embedding Space. In Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI), July 27-31, 2014, Quebec City, Canada. Pages 1657-1663

  2. Mei Tu, Yu Zhou and Chengqing Zong. Enhancing Grammatical Cohesion: Generating Transitional Expressions for SMT. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), June 23 - 25, 2014, Baltimore, USA. Pages 850-860

  3. Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou and Chengqing Zong. Bilingually-constrained Phrase Embeddings for Machine Translation. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), June 23 - 25, 2014, Baltimore, USA. Pages 111-121

  4. Feifei Zhai, Jiajun Zhang, Yu Zhou and Chengqing Zong. Derivation Structure Prediction for SMT. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL) (Short paper), June 23 - 25, 2014, Baltimore, USA. Pages 779-784

  5. Kun Wang, Chengqing Zong and Keh-Yih Su. Dynamically Integrating Cross-Domain Translation Memory into Phrase-Based Machine Translation during Decoding. In Proceedings of the 25th International Conference on Computational Linguistics (COLING), 23-29 August 2014, Dublin, Ireland. Pages 398-408

  6. Haitong Yang and Chengqing Zong. Multi-Predicate Semantic Role Labeling. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), October 25-29, 2014, Doha, Qatar. Pages 363-373

  7. Haitong Yang and Chengqing Zong. A Global Generative Model for Chinese Semantic Role Labeling. In Proceedings of the 3rd International Conference on Natural Language Processing and Chinese Computing (NLPCC), December 8-9, 2014, Shenzhen, China, Pages 1-12

  8. Junjie Li and Chengqing Zong. Sentiment Classification of Chinese Contrast Sentences. In Proceedings of the 3rd International Conference on Natural Language Processing and Chinese Computing (NLPCC), December 8-9, 2014, Shenzhen, China, Pages 205-216
& 2013年

  1. Yufeng Chen, Chengqing Zong and Keh-Yih Su. A Joint Model to Simultaneously Identify and Align Bilingual Named Entities. Computational Linguistics, 39(2):229-266

  2. Rui Xia, Chengqing Zong, Xuelei Hu, and Erik Cambria. Feature Ensemble plus Sample Selection: Domain Adaptation for Sentiment Classification. IEEE Intelligent Systems, May/June 2013, pages 10-18

  3. Jiajun Zhang, Feifei Zhai, and Chengqing Zong. Syntax-Based Translation with Bilingually Lexicalized Synchronous Tree Substitution Grammars. IEEE Transactions on Audio, Speech and Language Processing (TASLP), Vol.21, No.8, 2013. Pages 1586-1597

  4. Zhiguo Wang and Chengqing Zong. Large-scale Word Alignment Using Soft Dependency Cohesion Constraints. Transactions of Association for Computational Linguistics(TACL),  1 (2013): 291-300

  5. Feifei Zhai, Jiajun Zhang, Yu Zhou, and Chengqing Zong. Unsupervised Tree Induction for Tree-based Translation. Transactions of Association for Computational Linguistics (TACL),  1 (2013) 243–254

  6. Jiajun Zhang and Chengqing Zong. A Unified Approach for Effectively Integrating Source-side Syntactic Reordering Rules into Phrase-based Translation. International Journal Language Resources and Evaluation (LRE), 10 February 2013, 26 pages

  7. Jiajun Zhang, Feifei Zhai and Chengqing Zong. A Substitution-Translation-Restoration Framework for Handling Unknown Words in Statistical Machine Translation. Journal of Computer Science and Technology (JCST), 28(5):907-918. Sept. 2013

  8. Rui Xia, Xuelei Hu, Jianfeng Lu, Jian Yang, and Chengqing Zong. Instance Selection and Instance Weighting for Cross-domain Sentiment Classification via PU Learning. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), August 3-9, 2013, Beijing, China. Pages 2176-2182

  9. Jiajun Zhang and Chengqing Zong. Learning a Phrase-based Translation Model from Monolingual Data with Application to Domain Adaptation. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), Sofia, Bulgaria, August 4-9, 2013. Pages 1425-1436

  10. Kun Wang, Chengqing Zong and Keh-Yih Su. Integrating Translation Memory into Phrase-Based Machine Translation. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), Sofia, Bulgaria, August 4-9, 2013. Pages 11-21

  11. Feifei Zhai, Jiajun Zhang, Yu Zhou and Chengqing Zong. Handling Ambiguities of Bilingual Predicate-Argument Structures for SMT. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), Sofia, Bulgaria, August 4-9, 2013. Pages 1127-1136

  12. Mei Tu, Yu Zhou and Chengqing Zong. A Novel Translation Framework Based on Rhetorical Structure Theory. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics(ACL)(Short paper), Sofia, Bulgaria, August 4-9, 2013. Pages 370-374

  13. Zhiguo Wang, Chengqing Zong and Nianwen Xue. A Lattice-based Framework for Joint Chinese Word Segmentation, POS Tagging and Parsing. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics(ACL)(Short paper), Sofia, Bulgaria, August 4-9, 2013. Pages 623-627

  14. Rui Xia, Tao Wang, Xuelei Hu, Shoushan Li and Chengqing Zong. Dual Training and Dual Prediction for Polarity Classification. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics(ACL)(Short paper), Sofia, Bulgaria, August 4-9, 2013. Pages 521-525

  15. Zhiguo Wang and Chengqing Zong. Bidirectional Sequence Labeling via Dual Decomposition. In Proceedings of the 12th China National Conference on Computational Linguistics(CNCCL), 10-12 October 2013, SuZhou, China. Pages 325–332.

  16. Xiaoqing Li, Chengqing Zong and Keh-Yih Su. A Study of the Effectiveness of Suffixes for Chinese Word Segmentation. In Proceedings of the 27th Pacific Asia Conference on Language, Information, and Computation (PACLIC 27), November 22-24, 2013, Taipei, China. Pages 118-125

  17. Lu Xiang, Yu Zhou and Chengqing Zong. An Efficient Framework to Extract Parallel Units from Comparable Data. In Proceedings of CCF Conference on Natural Language Processing & Chinese Computing, Nov.15-19,2013, Chongqing, China. Pages 151–163

  18. 杜金华，张萌，宗成庆，孙乐，中国机器翻译研究的机遇与挑战－第八届全国机器翻译研讨会总结与展望，2013年7月，第27卷第4期，第1－8页

  19. 涂眉，周玉，宗成庆. 基于最大熵的汉语篇章结构自动分析方法，自然语言处理与中文计算会议(NLP&CC), 重庆, 2013年11月11－19日

    & 2012年

  1. Kun Wang, Chengqing Zong and Keh-Yih Su. Integrating Generative and Discriminative Character-Based Models for Chinese Word Segmentation. ACM Transactions on Asian Language Information Processing (TALIP), Vol.11, No.2, June 2012, pages 7:1-7:41

  2. Xiaoqing Li, Kun Wang, Chengqing Zong and Keh-Yih Su. Integrating Surface and Abstract Features for Robust Cross-Domain Chinese Word Segmentation. In Proceedings of the 24th International Conference on Computational Linguistics (COLING), Mumbai, India, 8-15 December 2012. Pages 1653-1669

  3. Feifei Zhai, Jiajun Zhang, Yu Zhou and Chengqing Zong. Machine Translation by Modeling Predicate Argument Structure Transformation. In Proceedings of the 24th International Conference on Computational Linguistics (COLING), Mumbai, India, 8-15 December 2012. Pages 3019-3036

  4. Feifei Zhai, Jiajun Zhang, Yu Zhou and Chengqing Zong. Treebased Translation without Using Parse Trees. In Proceedings of the 24th International Conference on Computational Linguistics (COLING), Mumbai, India, 8-15 December 2012. Pages 3037-3054

  5. Jiajun Zhang and Chengqing Zong. A Comparative Study on Discontinuous Phrase Translation. In Proceedings of the 1st Conference on Natural Language Processing and Chinese Computing(NLP&CC), Beijing, China. October 31-November 5, 2012. Pages 164-175

  6. Jiajun Zhang, Feifei Zhai and Chengqing Zong. Handling Unknown Words in Statistical Machine Translation from a New Perspective. In Proceedings of the 1st Conference on Natural Language Processing and Chinese Computing(NLP&CC), Beijing, China. October 31-November 5, 2012. Pages 176-187 【Best Paper Award】

  7. Mei Tu, Yu Zhou and Chengqing Zong. A Universal Approach to Translating Numerical and Time Expressions. In Proceedings of International Workshop on Spoken Language Translation (IWSLT), 6-7 December 2012, Hong Kong. Pages 209-216

  8. 王志国，宗成庆， 一个基于高阶词汇依存特征的短语结构分析树重排序模型， 软件学报，23(10):2628−2642，2012

    & 2011年

  1. Rui Xia, Chengqing Zong, and Shoushan Li. Ensemble of feature sets and classification algorithms for sentiment classification. Information Sciences, 181(6): 1138-1152

  2. Yu Zhou, Peng Liu and Chengqing Zong. Approaches to Improving Corpus Quality for Statistical Machine Translation. International Journal of Computer Processing of Oriental Languages (IJCPOL), Vol. 23, No. 4 (2011) 327–348

  3. Yu Zhou, Feifei Zhai, Peng Liu and Chengqing Zong. A New Framework to Deal With OOV Words in SLT System. International Journal of Advanced Intelligence(IJAI), Volume 3, Number 2, July 2011. Pages 269-285

  4. Shoushan Li, Chu-Ren Huang, and Chengqing Zong. Multi-Domain Sentiment Classification with Classier Combination. Journal of Computer Science and Technology(JCST), 26(1): 25-33 Jan. 2011

  5. Maoxi Li, Chengqing Zong and Hwee Tou Ng. Automatic Evaluation of Chinese Translation Output: Word-Level or Character-Level? In Proceedings of ACL/HLT (short paper), June 18-21, 2011. Oregon, USA. Pages 159-164

  6. Jiajun Zhang, Feifei Zhai and Chengqing Zong. Augmenting String-to-Tree Translation Models with Fuzzy Use of Source-side Syntax. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP), July 27-29, 2011, Edinburgh, UK, Pages 204-215

  7. Rui Xia and Chengqing Zong. A POS-based Ensemble Model for Cross-domain Sentiment Classification. In Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP), Shangri-La Hotel, Chiang Mai, Thailand, November 8-13, 2011, pages 614–622

  8. Yufeng Chen and Chengqing Zong. A Semantic-Specific Model for Chinese Named Entity Translation. In Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP), Shangri-La Hotel, Chiang Mai, Thailand, November 8-13, 2011, pages 138–146

  9. Zhiguo Wang and Chengqing Zong. Parse Reranking Based on Higher-Order Lexical Dependencies. In Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP, Shangri-La Hotel, Chiang Mai, Thailand, November 8-13, 2011, Pages 1251-1259

  10. Feifei Zhai, Jiajun Zhang and Chengqing Zong. Simple but Effective Approaches to Improving Tree-to-Tree Model. Machine Translation Summit XIII, Xiamen, China, September 19-23, 2011. Pages 261-268

  11. 陈钰枫，宗成庆，苏克毅， 汉英双语命名实体识别与对齐的交互式方法， 计算机学报，2011年9月，第34卷第9期，第1688－1696页

  12. 夏睿，宗成庆， 情感文本分类混合模型及特征扩展策略， 智能系统学报，2011年12月，第6卷第6期，第483－488页

  13. 翟飞飞，宗成庆， 口语对话中冗余词汇识别方法研究， 中文信息学报，2011年第25卷第3期，第104－111页

  14. 周玉，翟飞飞，张家俊，涂眉，陈钰枫，宗成庆， 多语言文本机器翻译系统－中科院自动化所CWMT2011评测技术报告， 见：全国第七届机器翻译评测研讨会论文集，2011年9月23－24日，厦门

更多发表的论文>>>

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  学术活动及任职

  

   ² 学术组织或大学兼职

  • Vice President of the Association for Computational Linguistics (ACL), 2024 (https://www.aclweb.org/portal/about)

  • Vice President-elect of the Association for Computational Linguistics (ACL), 2023 (https://www.aclweb.org/portal/about)

  • Member of International Committee on Computational Linguistics (ICCL: https://ufal.mff.cuni.cz/iccl/), January 2013 - present

  • Chair, SIGHAN , January, 2014 - December, 2015

  • Vice-Chair/ Chair-Elect, SIGHAN , December 2011 - December 13, 2013

  • Information Officer, SIGHAN, August 2009 - December 2011

  • President, Asian Federation of Natural Language Processing (AFNLP) (http://www.afnlp.org/), 2019 - 2021

  • Vice President, Asian Federation of Natural Language Processing (AFNLP) (http://www.afnlp.org/), January 2017 - December 2018

  • Secretary General, Asian Federation of Natural Language Processing (AFNLP) (http://www.afnlp.org/), January 2015 - December 2016

  • Executive Member, Asian Federation of Natural Language Processing (AFNLP), January 2008 - December 2012

  • Member of Technical Committee of Human-Computer Interaction (TC-13), International Federation for Information Processing (IFIP), August 2005 - August 2007

  • 2014年7月至今，中国科学院大学岗位教授

  • 2021年至2024年，香港中文大学（深圳）兼职教授

  • 2016年12月至今，中国中文信息学会第八届理事会副理事长

  • 2019年至2024年，全国语言与术语标准化技术委员会（SAC/TC62）委员

  • 2020年至2024年，国家科技图书文献中心计算机网络服务系统专家委员会委员

  • 2021年至2024年，北京大学公共文化服务大数据应用文化和旅游部重点实验室学术委员会委员会

  • 2012年至2014年，担任国家自然科学基金委员会第14届评审组专家

  • 2012年至2016年，中国中文信息学会第七届理事会常务理事、机器翻译专委会副主任

  • 2007年至2011年，中国中文信息学会第六届理事会理事、机器翻译专委会副主任

  • 2010年至2019年，中国计算机学会中文信息技术专委会副主任

  • 2005年至2015年，中国人工智能学会理事

  • 2008年至2018年，国家自然科学基金委员会重大研究计划"视听觉信息的认知计算"指导专家

  • 2009至今，北京大学计算语言学教育部重点实验室学术委员会副主任

  • 2004年1月至2009年12月，清华大学中国语言文学系特邀学术顾问、讲座教授

   ² 学术期刊任职

   ² 作为负责人参与组织的学术会议和学术活动

  • General Chair of the joint conference of the 59th Annual Meeting of the Association for Computational Linguistics (ACL) and the 10th International Joint Conference on Natural Language Processing (IJCNLP), Bangkok, Thailand, August 1-6, 2021

  • Program Committee Co-Chair of the 28th International Conference on Computational Linguistics (COLING), Barcelona, Spain, 13-19 September 2020

  • Area chair of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, USA， Feb 7-12, 2020

  • Area chair of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Hawaii, USA, January 27 – February 1, 2019

  • General Co-Chair, The Seventh CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), Hohhot, China, August 26-30, 2018

  • Area Chair of the 27th International Joint Conference on Artificial Intelligence (IJCAI) and the 23rd European Conference on Artificial Intelligence (ECAI),Stockholm, Sweden, July 13-19, 2018

  • Area Chair of the 26th International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, August 19-25, 2017

  • Conference Chair of the 8th International Joint Conference on Natural Language Processing (IJCNLP), Nov.27-Dec.1, 2017, Taipei

  • Sponsorship Co-Chair of the 26th International Conference on Computational Linguistics (COLING), Osaka, Japan, December 11-16, 2016

  • Program Committee Co-Chair of the 53rd ACL and the 7th IJCNLP, Beijing, China, July 26 - 31, 2015

  • Scientific Advisory Board Member, The 25th International Conference on Computational Linguistics (COLING), Dublin, Ireland, August 23 - 29, 2014

  • Program Committee Co-Chair, The 3rd International Conference on Natural Language Processing and Chinese Computing (NLPCC), Shenzhen, China, December 5 - 9, 2014

  • General Co-Chair, The 3rd CIPS-SIGHAN Joint Conference on Chinese Language Processing (CLP-2014), Wuhan, China, October 20 – 21, 2014

  • Publicity Co-Chair for IJCNLP’2013, Nagoya, Japan, October 14 - 19, 2013

  • Steering Committee Member of the 7th SIGHAN Workshop on Chinese Language Processing (SIGHAN-7),  Nagoya, Japan, October 14th, 2013

  • Technical Program Co-Chair of International Workshop on Spoken Language Translation (IWSLT), Hong Kong, December 6 - 7, 2012

  • Technical Program Co-Chair of the 3rd Asia-Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference (APSIPA ASC 2011), Xi'an, China, October 19 - 21, 2011

  • General Co-Chair of the 2nd IEEE International Workshop on Web Information Processing (IWWIP’2011),  Guilin, China, July 11 - 12, 2011

  • Organization Committee Co-Chair, The 23rd International Conference on Computational Linguistics (COLING), Beijing, China, August 23 - 27, 2010

  • Steering Committee Co-Chair, The 1st International Conference on Web Information Processing (ICWIP 2010), Tsing Tao, China, July 12 - 13, 2010

  • Tutorial Co-Chair of the 47th Annual Meeting of the Association for Computational Linguistics (ACL), and the International Joint Conference on Natural Language Processing (IJCNLP), Singapore, August 2 - 7, 2009

  • Program Committee Co-Chair of the IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE), Beijing, China, October 19 - 22, 2008

  • Program Committee Co-Chair of the IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE), Beijing, China, August 30 - September 1, 2007

  • Program Committee Co-Chair of the IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE), Wuhan, China, October 30 - November 1, 2005

  • Speech Area Co-Chair of the First International Joint Conference on Natural Language Processing (IJCNLP), Sanya, China, March 22 - 24, 2004

  • Program Committee Co-Chair of 2003 International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE), Beijing, China, October 26 - 29, 2003

  • 2016中国人工智能大会(CCAI)程序委员会共同主席，2016年8月26-27日，北京

  • 2015中国人工智能大会(CCAI)程序委员会共同主席，2015年7月26-27日，北京

  • 第九届全国机器翻译研讨会(CWMT)会议主席，2013年10月31日－11月1日，昆明

  • 第八届全国机器翻译研讨会(CWMT)程序委员会主席，2012年9月20－21，西安

  • 中国计算机学会第31期《学科前沿讲习班》学术共同主任，2012年10月31日－11月2日，北京

  • 第四届全国机器翻译研讨会程序委员会主席，2008年11月27－28日，北京

  • 2008全国模式识别学术会议组织委员会共同主席(Co-chair)，2008年10月22－24日，北京

  • 2007全国模式识别学术会议组织委员会共同主席(Co-chair)，2007年12月11－12日，北京

   ² 担任程序委员会委员或审稿人等职务的学术会议

  • ACL 2008, 2012, 2014, 2017, 2018, 2019, 2022

  • COLING 2008, 2012，2016, 2018, 2022

  • EMNLP 2010, 2012, 2013, 2014, 2016, 2017, 2018, 2019

  • IJCAI 2013(SPC), 2015(SPC)

  • AAAI 2017(SPC), 2018(SPC)

  • LREC 2010, 2012, 2014, 2016, 2018

  • ICML 2019

  • CoNLL 2019

  • WWW 2015, 2016, 2018, 2019

  • CIKM 2016

  • EACL 2014

  • IJCNLP 2011, 2019

  • NAACL 2010, 2012, 2013, 2015(-HLT), 2016(-HLT), 2018(-HLT)

  • MT Summit 2011

  • PACLIC 2009 ~ 2014

  • IWSLT 2005, 2006, 2008, 2009, 2010

  • IALP 2009, 2010, 2011, 2012

  • NLP-KE 2009, 2011, 2012

  • CLP (CIPS-SIGHAN Joint Conference on Chinese Language Processing) 2010

  • PRICAI (Pacific Rim International Conference on Artificial Intelligence) 2008, 2010

  • IWP (International Workshop of Paraphrasing) 2003, 2005

  • CLIA (Computational Linguistics and the Information Need of Multilingual Societies) 2010, 2011

  • ICCC (the International Conference on Chinese Computing) 2005, 2007

  • WCICA (World Congress on Intelligent Control and Automation) 2008

  • 第十三届汉语词汇语义学研讨会，2012年7月6日-8日，武汉

  • 全国第七、八、九、十届人机语音通讯学术会议(NCMMSC)：2003(厦门)，2005(北京)，2007(黄山)，2009(兰州)

   ² 期刊审稿人

  • IEEE Transactions on Audio, Speech and Language Processing

  • ACM Transactions on Asian Language Information Processing (TALIP)

  • Transactions of the Associations for Computational Linguistics (TACL)

  • Machine Translation

  • Journal of Computer Science and Technology

  • 《计算机学报》、《软件学报》、《自动化学报》、《电子学报》、《高技术通讯》、《中文信息学报》等

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  学术报告

 

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  专利及软件著作权

  

   ◆已获得的专利

  1. 周玉，李梅，向露，宗成庆， 基于层次化多头交互注意力的对话状态生成方法，国家发明专利，授权号：ZL202011341577.0

  2. 周玉，李梅，向露，宗成庆， 基于知识驱动的对话策略网络优化方法、系统、装置，国家发明专利，授权号：ZL202011337142.9

  3. 向露，白赫，周玉，宗成庆， 基于对话逻辑的多轮口语理解方法、系统、装置，国家发明专利，授权号：ZL201910661448.0

  4. 宗成庆，黄鑫，张家俊，周玉， 多模态机器翻译方法、装置、电子设备和存储介质，国家发明专利，授权号：ZL202110392717.5

  5. 周玉，白赫，张家俊，宗成庆，赵亮，对话系统中口语理解的跨语言迁移方法，国家发明专利，授权号：ZL201810724523.9

  6. 向露，刘洋，周玉，宗成庆， 基于QA知识库推理的多轮对话回复选择方法、系统，国家发明专利，授权号：ZL201910192600.5

  7. 周玉，朱军楠，张家俊，宗成庆， 图文摘要生成方法，国家发明专利，授权号：ZL201811172666.X

  8. 王少楠，孙静远，宗成庆， 基于原型记忆的小数据词表示学习方法与系统及相关设备，国家发明专利，授权号：ZL201811479634.4

  9. 张家俊，李浩然，宗成庆，多语言自动文摘方法，国家发明专利，授权号：ZL201611253245.0

  10. 张家俊，赵阳，宗成庆，提高神经机器翻译准确度的方法、翻译方法及系统和设备，国家发明专利，授权号：ZL201711123864.2

  11. 向露，刘洋，张家俊，周玉，宗成庆，篇章因果关系判断方法、系统、装置，国家发明专利，授权号：ZL201910089352.1

  12. 杜倩龙，宗成庆，苏克毅，文本蕴含识别方法及装置，国家发明专利，授权号：ZL201811014746.2

  13. 张家俊，李浩然，宗成庆，融合蕴含知识的自动文摘方法及系统，国家发明专利，授权号：ZL201810499465.4

  14. 杜倩龙，宗成庆，苏克毅，基于词汇依存三元组的文本蕴含识别方法及装置，国家发明专利，授权号：ZL2018110688172.0

  15. 张家俊，周龙，马宏远，杜翠兰，张翠，赵晓航，宗成庆，基于深层神经网络翻译模型的解码方法，国家发明专利，授权号：ZL201810270468.0

  16. 王少楠，张家俊，宗成庆，融合中文单词内部结构信息的句子表示的构建方法及系统，国家发明专利，授权号：ZL201710449875.3

  17. 王少楠，张家俊，宗成庆，一种基于动态融合机制的多模态词汇表示方法，国家发明专利，授权号：ZL201710577334.9

  18. 张家俊，赵阳，王亦宁，宗成庆，基于神经机器翻译系统的单词预测方法及系统，国家发明专利，授权号：ZL201611209226.8

  19. 张家俊，刘洋，宗成庆，一种双语篇章标注方法，国家发明专利，授权号：ZL201610317745.X

  20. 宗成庆，黄国平，面向计算机辅助翻译的输入方法与装置，国家发明专利，授权号：ZL201410678005.X

  21. 宗成庆，王志国， 一种基于依存连贯性约束的双语词语自动对齐方法，国家发明专利，授权号：ZL201210175015.2

  22. 宗成庆、翟飞飞、张家俊、周玉，一种基于谓词论元结构的统计机器翻译方法，国家发明专利，授权号：ZL201210534093.7

  23. 宗成庆，翟飞飞，构建树结构及基于树结构的机器翻译系统的方法，国家发明专利，授权号：ZL201210068782.3

  24. 汪昆，宗成庆，苏克毅，一种融合翻译记忆和短语翻译模型的统计机器翻译方法，国家发明专利，授权号：ZL201310148826.8

  25. 宗成庆，张家俊，一种基于模糊树到精确树的统计机器翻译方法，国家发明专利，授权号：ZL201110077282.1

  26. 宗成庆，庄涛，一种双语联合语义角色的标注方法，国际发明专利，授权号：PCT/CN2011/074877，国家发明专利，授权号：CN101908042B

  27. 宗成庆，陈钰枫，一种基于语块的中文机构名翻译方法及装置， 国家发明专利，授权号：ZL200610011923.2

  28. 周玉，宗成庆，一种拼音和汉字相结合的汉外口语自动翻译方法， 国家发明专利，授权号：ZL200910244513.6

  29. 宗成庆、周玉，一种汉英短语翻译对自动抽取与过虑方法，国家发明专利，授权号：ZL 2008 0055782.3

  30. 宗成庆，周玉，何彦青，一种汉英词语自动对齐方法， 国家发明专利，授权号：ZL 2008 1 0055783.8

  31. 宗成庆，李寿山，基于概率主题词的两级组合文本分类方法， 国家发明专利，授权号: ZL200610011747.2

  32. 宗成庆，左云存，一种新的汉语口语解析方法及装置，国家发明专利，授权号：ZL200510109335.8

  33. 宗成庆，李幸，一种基于标点处理的层次化汉语长句句法分析方法及装置，国家发明专利，授权号：ZL200510086370.2

  34. 宗成庆，陈克利，一种新的面向文本分类的特征向量权重的方法及装置，国家发明专利，授权号：ZL 200410062789.X

  35. 宗成庆，刘丁，口语会话中句子边界识别方法，国家发明专利，授权号：ZL 03147553.1

   ◆已获得的软件著作权

  1. 王少楠，张家俊，宗成庆，中文句子表示软V1.0，登记号：2017SR325783

  2. 李小青，宗成庆，通用序列标注软件 V1.0，登记号：2017SR109026

  3. 李小青，宗成庆，神经网络机器翻译解码器软件 V1.0，登记号：2017SR109029

  4. 张家俊，周龙，宗成庆，神经网络机器翻译软件 V1.0，登记号：2017SR109024

  5. 向露 ，宗成庆，双语句子自动对齐软件 V 1.0，登记号：2013R125719

  6. 向露 ，宗成庆，用于机助翻译系统的术语库管理软件 V 1.0 ，登记号：2013R125726

  7. 张志琳，宗成庆，用于机器翻译的句库管理系统 V 1.0，登记号：2013R125723

  8. 陈钰枫，汪昆，宗成庆，汉英双语命名实体识别及翻译软件V1.0，登记号：2013SR015733

  9. 周玉，宗成庆，信译机器翻译系统 TrustTrans V1.0，登记号：2013SR014539

  10. 涂眉，宗成庆，多语言数字时间表示识别及其对汉翻译软件，授权证书号：2011SR087628

  11. 李茂西，宗成庆，机器翻译系统融合工具软件，授权证书号：2011R11L111623

  12. 王志国，宗成庆，基于词汇依存的短语结构句法分析系统，授权证书号：2011SR075946

  13. 汪昆，宗成庆，中文分词与词性标注系统，授权证书号：2011SR076202

  14. 刘鹏，宗成庆，汉语句子相似度计算软件，授权号：软著登字第BJ31668号

  15. 鉴萍，宗成庆，基于层的依存句法分析系统V1.0，证书号：2010SRBJ1577

  16. 周玉，宗成庆， 双语句子对齐与词对齐工具，证书号：2009SRBJ4365

  17. 夏睿，翟飞飞，宗成庆，汉英双向时间、数字实体识别翻译软件，证书号：2009SRBJ5725

  18. 柴春光，宗成庆，统计机器翻译解码器软件V1.0，软著登字第BJ9983号

  19. 徐昉，宗成庆，中英文基本名词短语识别系统V1.0，软著登字第BJ9979号

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  获奖与荣誉

 

    ²  2022年12月荣获教育部自然科学奖二等奖

    ²  2022年12月当选亚太人工智能学会会士（The Asia-Pacific Artificial Intelligence Association (AAIA) fellow）

    ²  2022年11月当选电气与电子工程师协会会士（IEEE Fellow）

    ²  2022年4月发明专利“一种汉英词语自动对齐方法”（授权专利号：ZL200810055783.8）荣获第23届中国专利优秀奖

    ²  2022年1月荣获中国科学院大学李佩教学名师奖

    ²  2022年1月当选国际计算语言学学会会士(ACL Fellow)

    ²  2021年11月荣获中国发明协会发明创业奖创新奖一等奖

    ²  2021年9月荣获北京市科学技术奖一等奖

    ²  2021年1月当选中国计算机学会会士（CCF Fellow）

    ²  2020年9月荣获中国科学院大学“领雁奖章-振翅奖”（银奖）

    ²  2020年7月荣获新疆维吾尔自治区科学技术进步奖二等奖

    ²  2019年11月荣获宝钢优秀教师奖

    ²  2019年10月当选中国人工智能学会会士（CAAI Fellow）

    ²  2019年9月荣获中国科学院优秀导师奖

    ²  2018年7月荣获中国科学院优秀导师奖

    ²  2017年9月被授予北京市优秀教师荣誉称号

    ²  2016年12月荣获中国科学院教育教学成果奖二等奖（独立获奖人）

    ²  2015年获国家科技进步奖二等奖（第三获奖人）

    ²  2014年12月荣获中国中文信息学会"钱伟长中文信息处理科学技术奖"一等奖（第一获奖人）

    ²  2014年12月荣获中国电子学会科技进步奖一等奖（第4获奖人，共15人）

    ²  2012年荣获国务院颁发的政府特殊津贴

    ²  2010年12月荣获中国科学院"朱李月华优秀教师"奖

    ²  2009年12月荣获第23届亚太地区语言、信息与计算国际会议(PACLIC)最佳论文奖

    ²  2008年5月荣获中国科学院研究生院集中教学突出贡献奖

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  指导研究生情况

  

  ◆目前在读研究生
张    翔：博士生 张志扬：博士生 李    翀：博士生 张云豪：博士生 武俊宏：博士生 任子轩：博士生
张兴泉：博士生 管博宇：博士生 郑纪辰：博士生 叶    静：博士生 张益宁：博士生 唐姝蓓：硕士生
黎宇涵：硕士生

  ◆已经毕业的研究生（以毕业时间为序）:

       $ 2024年毕业生

    马    聪，博士，论文题目：《跨模态信息融合的文本图像翻译方法研究》，2024.5

    赵心培，硕士，论文题目：《基于预训练语言模型的连续文本神经解码方法研究》，2024.5

       $ 2023年毕业生

    王祥宇，博士，论文题目：《文本情绪类别的表示方法研究及应用》，2023.5

    张肖寒，博士，论文题目：《自然语言刺激下大脑的语义和句法表征机制研究》，2023.5

    闫璟辉，博士，论文题目：《中文医疗文本中的实体识别与规范化方法研究》，2023.5

    黄    鑫，博士，论文题目：《融合图片信息的神经机器翻译方法研究》，2023.5

    阮星程，硕士，论文题目：《基于文档的对话系统构建方法研究》，2023.5

       $ 2022年毕业生

    李    梅，博士，论文题目：《面向医疗场景的对话理解与生成方法研究》，2022.5

    孙    建，博士，论文题目：《知识图谱扩充方法研究》，2022.5

    向    露，博士，论文题目：《跨语言任务型对话系统构建方法研究》，2022.5

    王世宁，硕士，论文题目：《鲁棒的口语翻译方法研究》，2022.11

    刘思凯，硕士，论文题目：《面向口语理解的数据增强方法研究及实现》，2022.5

    江洲钰，硕士，论文题目：《面向中文社交媒体的命名实体识别方法研究》，2022.8

       $ 2021年毕业生

    杜倩龙，博士，论文题目：《融合多层次语言信息的文本蕴涵识别方法研究》，2020.11

    亢晓勉，博士，论文题目：《融合篇章信息的神经机器翻译方法》，2021.1

    刘宇宸，博士，论文题目：《跨模态信息融合的语音翻译方法研究》，2021.6

    孙静远，博士，论文题目：《基于分布式文本表示的神经编解码方法研究》，2021.6

    陈    思，硕士，论文题目：《中文电子病历命名实体识别方法研究和实现》，2021.6

       $ 2020年毕业生

    王唯康，博士，论文题目：《任务型对话系统中对话管理方法研究》，2020.6

    王亦宁，博士，论文题目：《 融合多语言信息的神经机器翻译方法研究》，2020.6

    周   龙，博士，论文题目：《 融合多源信息的神经机器翻译方法研究》，2020.6

    朱军楠，博士，论文题目：《 多源信息融合的自动摘要方法研究》，2020.6

    董传海，硕士，论文题目：《 基于神经网络的中文命名实体识别方法研究与实现》，2020.6

       $ 2019年毕业生

    赵    阳，博士，论文题目：《增强译文忠实度的神经机器翻译方法研究》，2019.6

    刘    洋，博士，论文题目：《篇章关系识别方法研究与应用》，2019.6

       $ 2018年毕业生

    王少楠，博士，论文题目：《文本向量表示方法研究》，2018.6

    李俊杰，博士，论文题目：《融合用户信息的文本情感分析方法研究》，2018.12

    李浩然，博士，论文题目：《基于多源信息的自动摘要方法研究》，2018.12

       $ 2017年毕业生

    黄国平，博士，论文题目：《人机交互式机器翻译方法研究与实现》，2017.6

    吴惠甲，博士，论文题目：《序列标注中的神经网络方法研究》，2017.6

       $ 2016年毕业生

    李小青，博士，论文题目：《神经网络机器翻译中的数据优化方法研究》，2016.12

    杨海彤，博士，论文题目：《融合多种谓词信息的语义角色标注方法研究》，2016.6

       $ 2015年毕业生

    涂    眉，博士，论文题目：《基于篇章分析的统计机器翻译方法研究》，2015.6

       $ 2014年毕业生

    翟飞飞，博士，论文题目：《基于语言结构知识的统计机器翻译方法研究》，2014.6

    向    露，硕士，论文题目：《基于网络的翻译知识自动获取方法研究与实现》，2014.6

    张志琳，硕士，论文题目：《汉语微博情感分析方法研究与实现》，2014.6

      $ 2013年毕业生

    汪    昆，博士，论文题目：《融合翻译记忆的统计机器翻译方法研究》，2013.6

    王志国，博士，论文题目：《基于依存关系的短语结构句法分析与词对齐方法研究及实现》，2013.6

       $ 2012年毕业生

    庄    涛，博士，论文题目：《鲁棒的语义角色标注方法研究》，2012.6

       $  2011年毕业生

    李茂西，博士，论文题目：《机器翻译系统融合方法研究与实现》，2011.6 

    夏    睿，博士，论文题目：《基于语言知识和集成学习的情感文本分类方法研究》，2011.6

    张家俊，博士，论文题目：《融合源语言句法知识的统计机器翻译方法研究》，2011.6

       $ 2010年毕业生

    吴晓锋，博士，论文题目：《文本自动摘要方法研究》，2010.11

    刘    鹏，博士，论文题目：《交互式口语翻译方法及相关问题研究》，2010.11

    鉴    萍，博士，论文题目：《依存句法分析方法研究与系统实现》，2010.6

    周可艳，博士，论文题目：《对话行为理解与口语翻译方法研究》，2010.6

       $ 2009年毕业生

    曹文洁，博士，论文题目：《融合语用、句法和韵律信息的自然语言生成建模研究及原型系统》，2009.9

    何彦青，博士，论文题目：《基于短语的统计翻译中短语对抽取方法和调序模型研究》，2009. 6

       $ 2008年毕业生

    陈钰枫，博士，论文题目：《汉英命名实体翻译及对齐方法研究》，2008. 6

    李寿山，博士，论文题目：《情感文本分类方法研究》，2008. 6

    方李成，硕士，论文题目：《基于层次短语的统计翻译引擎的设计与实现》，2008. 6

    周    玉，博士，论文题目：《面向统计机器翻译的双语对齐方法研究》，2008. 1

       $ 2007年毕业生

    柴春光，硕士，论文题目：《统计机器翻译解码器的设计与实现》，2007. 6

    徐    昉，硕士，论文题目：《基本名词短语识别的关键技术研究》，2007. 6

       $ 2005年毕业生

    胡日勒，博士，论文题目：《口语翻译知识自动获取方法研究》，2005. 7

    李    幸，硕士，论文题目：《汉语句法分析方法研究》，2005. 7

    左云存，硕士，论文题目：《口语解析与短语翻译对自动抽取方法研究》，2005. 7

       $ 2004年毕业生

    解国栋，博士，论文题目：《统计口语解析方法研究》，2004. 7

    陈克利，硕士，论文题目：《大规模平衡语料库的收集、分析及文本分类方法研究》，2004. 7

    刘    丁，硕士，论文题目：《汉语词与句子切分技术及机器翻译评估方法研究》，2004. 7

       $ 2003年毕业生

    张    艳，博士，论文题目：《汉语句法分析的理论、方法的研究及其应用》，2003. 7

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  课程教学

 

  • 2023年起至今： 《自然语言处理》，人工智能专业本科生 

  • 2020年起至今：《自然语言处理》，人工智能专业研究生 

  • 2017年起至今：《自然语言处理》，计算机专业本科生 

  • 2016年至2021年：《文本数据挖掘》，计算机专业研究生 

  • 2004年至2019年：《自然语言理解》（自2016年起课程名称改为《自然语言处理》），计算机专业研究生 

  • 1994年秋季学期：《计算机专业英语》，计算机专业本科生 

  • 1992年春季至1994年春季学期：《计算机编译原理》，计算机专业本科生 

  • 1991年秋季学期：《C语言程序设计 》，计算机专业本科生 

  • 1991年春季学期：《离散数学》，计算机专业本科生 

  • 1990年秋季学期：《数据库原理》，计算机专业本科生 

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如有问题请联系 zlu@nlpr.ia.ac.cn
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