2014年论文：
1.WenZhe Pei,Tao Ge and Baobao Chang, Max-Margin Tensor Neural Network for Chinese Word Segmentation, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014), Baltimore, Maryland, USA, 2014,pp 293–303
2.Baobao Chang, Wenzhe Pei and Miaohong Chen, Inducing Word Sense with Automatically Learned Hidden Concepts, Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014), Dublin, Ireland, 2014
3.Pingping Huang and Baobao Chang, SSMT: A Machine Translation Evaluation View to Paragraph-to-Sentence Semantic Similarity, Proceedings of the International Workshop on Semantic Evaluation (SemEval-2014),Dublin, Ireland,2014
4.俞士汶，罗鳯珠，朱学锋，王雷，常宝宝，语言能力与成语知识库，第十五届汉语词汇语义学国际研讨会（CLSW2014)，澳门，中国，2014
5.王臻、常宝宝、穗志方，基于分层输出神经网络的汉语语义角色标注，第十三届全国计算语言学会议（CCL 2014），2014年10月(《中文信息学报》，第28卷，第6期，2014
6.Miaohong Chen, Baobao Chang and Wenzhe Pei, A Joint Model for Unsupervised Chinese Word Segmentation, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014)
7.董秀芳.代词的主客观分工，《语言研究》2014年第 期：39－46。2014年7月。
8.董秀芳. 2+1式三音节复合词构成中的一些问题，《汉语学习》2014年第6期:3-10。
9.Sujian Li, Liang Wang, Ziqiang Cao, Wenjie Li, Text-level discourse ependency parsing, Baltimore, U.S., June 22-25, pages 25-35, Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014).
10.Yanran Li, Sujian Li, Query-focused Multi-document Summarization: Combining Topic Modeling with Graph-based Semi-supervised Learning, Coling 2014. The 25th International Conference on Computational Linguistics, Pages 1197-1207, Dublin, Ireland. Aug. 23-29.
11.Ziqiang Cao, Sujian Li, Heng Ji, Joint learning of Words, terms and keywords. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). Pages 1774-1778. Doha, Qatar. Oct.26-29, 2014.
12.Qi Li, Heng Ji, Yu Hong, Sujian Li, Constructing Information Networks Using One Single Model, EMNLP 2014. Oct.26-29, 2014.
13.刘艳敏,刘扬,汪梦翔.“价”的界定与汉语形容词配价描述的系统实现,第十五届汉语词汇语义学研讨会(CLSW2014), 中国澳门，2014.
14.王臻、常宝宝、穗志方，基于分层输出神经网络的汉语语义角色标注，第十三届全国计算语言学会议（CCL 2014），2014年10月 (《中文信息学报》，第28卷，第6期，2014)
15.Duan Huiming, Zhifang Sui, Tao Ge, The CIPS-SIGHAN CLP 2014 Chinese Word Segmentation Bakeoff, The Third CIPS-SIGHAN Joint Conference on Chinese Language Processing,2014
16.Ting song Jiang, Lei Sha, Zhifang Sui, Event Schema Induction Based on Relational Co-occurrence over Multipleocuments , The conference on Natural Language Processing and Chinese Computing, NLPCC 2014,Shenzhen,2014.12
17.Yantao Du, Fan Zhang, Weiwei Sun and Xiaojun Wan. 2014. Peking: Profiling Syntactic Tree Parsing Techniques for Semantic Graph Parsing. SemEval.
18.Xu Sun. Structure Regularization for Structured Prediction. In Advances in Neural Information Processing Systems (NIPS).2402-2410. 2014.
19.Xu Sun, Wenjie Li, Houfeng Wang, Qin Lu. Feature-Frequency-Adaptive Online Training for Fast and Accurate Natural Language Processing.Computational Linguistics. 40(3): 563-586. MIT Press. 2014.
20.Xiaojun Wan and Jianmin Zhang. CTSUM: Extracting More Certain Summaries for News Articles. In SIGIR2014. (Full Oral paper)
21.Xuewei Tang, Xiaojun Wan, Xun Zhang. Cross-language Context-Aware Citation Recommendation in Scientific Articles. In SIGIR2014. (Full Oral paper)
22.Shiyang Wen and Xiaojun Wan. Emotion Classification in Microblog Texts Using Class Sequential Rules. In AAAI2014.(Full Oral paper)
23.Weiwei Sun, Yantao Du, Xin Kou, Shuoyang Ding and Xiaojun Wan. Grammatical Relations in Chinese: GB-Ground Extraction and Data-Driven Parsing. In ACL2014. (Full Oral paper)
24.Xuewei Tang and Xiaojun Wan. Learning Bilingual Embedding Model for Cross-Language Sentiment Classification. In WI2014. (Regular paper)
25.Yue Hu and Xiaojun Wan. Automatic Generation of Related Work Sections in Scientific Papers: An Optimization Approach. In EMNLP2014. (Full Oral Paper)
26.Jinge Yao, Xiaojun Wan and Jianguo Xiao. Joint Decoding for Tree-Transductive Sentence Compression. In EMNLP2014.(Short Oral Paper)
27.Xiaojun Wan and Fang Liu. WL-Index: Leveraging Citation Mention Number to Quantify an Individual’s Scientific Impact. To appear inJournal of the American Society for Information Science and Technology (JASIST).
28.范超，王厚峰，社交网络中的社团结构挖掘，中文信息学报，2014（01）
29.Qing Zhang,Houfeng Wang Collaborative Topic Regression with Multiple Graphs Factorization for Recommendation in Social Media. the 25th International Conference on Computational Linguistics (COLING 2014), 2014/8/23-2014/8/29, pp233-244, 都柏林, 2014/06/21
30.Longkai Zhang,Houfeng Wang. Go Climb a Dependency Tree and Correct the Grammatical Errors the Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP2014), 2014/10/25-2014/10/29, 多哈, 2014/9/15
31.Longkai Zhang,Houfeng Wang,Xu Sun. Coarse-grained Candidate Generation and Fine-grained Re-ranking for Chinese Abbreviation Prediction. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP2014), 2014/10/25-2014/10/29, 多哈, 2014/9/15
32.Longkai Zhang,Li Li,Houfeng Wang,Xu Sun. Predicting Chinese Abbreviations with Minimum Semantic Unit and Global Constraints. The 2014 Conference on Empirical Methods In Natural Language Processing (EMNLP 2014), 2014/10/25-2014/10/29, 多哈, 2014/9/15
33.Xiaodong Zhang,Houfeng Wang. A Fast and Effective Method for Clustering Large-Scale Chinese Question Dataset.The 3rd CCF International Conference on Natural Language Processing and Chinese Computing(NLPCC 2014), 2014/12/5-2014/12/9, pp 345-356, 深圳, 2014/9/25
34.汪梦翔,王厚峰,刘扬,张龙凯. 现代汉语“对象格”自动识别研究.计算机工程与应用, 2014(08)
35.项梦冰，保留入声的汉语方言 《贺州学院学报》2014 年第 4 期
36.项梦冰，吴语里的“鲎”(虹) 《长江学术》2014 年第 3 期
37.项梦冰，汉语方言里的“挑”(跟陈稚瑶合作) 《现代语言学》(OA 期刊) 2014 年第 3 期
38.袁毓林。《谨慎使用高引用指数改进定量评价》，《中国社会科学报》2014年4月9 日，期刊B04。中国人民大学复印报刊资料《社会科学总论》2014年第2期，第78-79页。全文转载。
39.袁毓林。《“怀疑”的意义引申机制和语义识解策略》，《语言研究》2014年第3期，第1-12页。
40.魏雪、袁毓林。《基于规则的汉语名名组合的自动释义研究》，《中文信息学报》2014 年第3期，第1-10页。
41.袁毓林、曹宏、谢成名。《词汇本体知识及其在信息检索中的应用》，《苏州大学学报》（哲学社会科学版），2014年第5期，第149-158页。
42.袁毓林、李强。《怎样用物性结构知识解决“网球问题”？》，《中文信息学报》2014 年第5期，第1-10页。
43.李强、袁毓林。《基于物性角色的同义名词辨析方法探讨》，《世界汉语教学》2014年第4期，第519-531页。
44.Lei Wang, Shiwen Yu, Weiguang Qu, Zhimin Wang, Houfeng Wang. A Study on Metaphors in Idioms Based on Chinese Idiom Knowledge Base. 15th Workshop, CLSW 2014, Macao, China, June 9--12, 2014, pp. 434-440
45.Shaoda He, Xiaojun Zou, XiaoLiu MingJing, Junfeng Hu. Construction of Diachronic Ontologies from People’s Daily of Fifty Years, Proceedings of the 9th edition of the Language Resources and Evaluation Conference.(LREC 2014).
46.Ni Sun, Tongfei Chen, Junfeng Hu. Diachronic Deviation Features in Continuous Space Word Representations, Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data.
48.刘洪超，詹卫东，“Ａ＋一＋Ｘ，Ｂ＋一＋Ｙ”构式的分类及释义模板，《中文信息学报》，2014（6）。
49.Tao Ge,Wenjie Li,Zhifang Sui, A Semi-supervised Method for Opinion Target Extraction，WWW’14 Companion, April 7–11, 2014, Seoul, Korea.
50. Ge, Tao，Li, Wenjie，Sui, Zhifang ，A Semi-supervised Method for Opinion Target Extraction ，International Conference on World Wide Web，04-07-2014
51. 董秀芳，从等待义到时间指示功能的演变，《汉语学报》2014年第3期：55-64。（与邱丽媛合写，排名第二）
52.董秀芳.从存在义到不定指代义和多量义：“有 X”类词语的词汇化，《历史语言学研究》第八辑，商务印书馆，2014年11月:129-139。
53.董秀芳.上古汉语叙事语篇中由话题控制的省略模式，《中国语文》2015年第4期：306-314页。又收入《汉语言学新视界》（2016年刊，总第1期），学林出版社，2016年9月。
54. 项梦冰，汉语方言里的拾取义动词(下)，《民俗典籍文字研究》，商务印书馆，2014年1期
55.Guangyi Li, Houfeng Wang. Automatic Keyword Extraction Using Phrase-based TextRank with Domain Knowledge. The 3rd CCF International Conference on Natural Language Processing and Chinese Computing(NLPCC 2014), 2014/12/5-2014/12/9, pp 403-413, 深圳, 2014/9/25
56.俞士汶，朱学锋，综合型语言知识库及其在语言教学中的应用，北华大学学报，2014年第3期
57.董秀芳.內部結構為“程度副詞+形容詞”的副詞的特點及其詞彙化，《汉语史研究集刊》第十七辑：16-34页，巴蜀书社，2014年8月。
58.Zhifang Sui，The Construction of Language Resource and Knowledge Base for Chinese Language Computing，The Third CIPS-SIGHAN Joint Conference on Chinese Language Processing，CLP2014，Wuhan，2014.10
59.黄哲，段荪宇、孙斌. 分布式图计算模型及其在链接分析上的应用. 第 20 届全国信息检索学术会议论文集. 中国昆明, 2014.
2015年论文：
1.Miaohong Chen, Baobao Chang and Yang Liu, A Neural Network Based Translation Constrained Reranking Model for Chinese Dependency Parsing, CCL and NLP-NABD 2015.
2.Pingping Huang, Baobao Chang, Graph-Based Dependency Parsing with Recursive Neural Network, CCL and NLP-NABD 2015.
3.Tianshi Li, Baobao Chang, Semantic role labeling using Recursive Neural Network, CCL and NLP-NABD 2015.
4.Wenzhe Pei, Tao Ge and Baobao Chang, An Effective Neural Network Model For Graph-Based Dependency Parsing, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015), Beijing, China, 2015
5.韩冬煦，常宝宝，中文分词模型的领域适应性方法，《计算机学报》，第38卷，第2期，2015年2月，p.272-281
6.Junhao Zhang, Tongfei Chen, Junfeng Hu*: On the relationship between Gaussian stochastic blockmodels and label propagation algorithms. Journal of Statistical Mechanics (J. Stat. Mech.) 2015.3 ( SCI )
7.陈蕾，胡亦旻，艾苇，胡俊峰*，《红楼梦》中社会权势关系的提取及网络构建，CCL2015（中文信息学报接收并发表）
8.Dian Yu, Heng Ji, Sujian Li and Chin-Yew Lin. 2015. Why Read if You can Scan: Scoping Strategy for Biographical Fact Extraction. Proc. the 2015 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL-HLT 2015).
9.Lei Sha, Sujian Li*, Baobao Chang, Zhifang Sui, Recognizing Textual Entailment Using Probabilistic Inference, EMNLP 2015. （学院A类论文）
10.Tao Ge, Wenzhe Pei, Heng Ji, Sujian Li, Baobao Chang, Zhifang Sui, Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles, ACL 2015. （学院A类论文）
11.Yan Yan, Xu-cheng Yin, Sujian Li, Mingyuan Yang, Hongwei Hao, Learning Document Semantic Representation with Hybrid Deep Belief Network, Computational Intelligence and Neuroscience, vol. 2015, Article ID 650527, 9 pages, 2015. doi:10.1155/2015/650527
12.Yang Liu, Furu Wei, Sujian Li*, Heng Ji, Ming Zhou, Houfeng Wang, A Dependency-Based Neural Network for Relation Classification, ACL 2015
13.Yanran Li, Wenjie Li, Fei Sun, Sujian Li, Component-Enhanced Chinese Character Embeddings, EMNLP 2015.
14.Yanran Li, Wenjie Li, Sujian Li, A Hierarchical Knowledge Representation for Expert Finding on Social Media. ACL 2015.
15.Ziqiang Cao, Furu Wei, Dong Li, Sujian Li*, Ming Zhou, Ranking with Recursive Neural Networks and Its Application to Multi-document Summarization, AAAI 2015, Texas, Austin. （学院A类论文）
16.Ziqiang Cao, Furu Wei, Sujian Li*, Wenjie Li, Ming Zhou, Houfeng Wang, Learning Summary Prior Representation for Extractive Summarization, ACL 2015. （学院A类论文）
17.陈刚, 刘扬. 基于特征序列的语义分类体系的自动构建, 中文信息学报, 2015（3）
18.刘艳敏, 刘扬. 汉语形容词语义选择限制的实现与评价, 第十六届汉语词汇语义学研讨会(CLSW2015), 北京, 2015.
19.Chuncheng Xiang, Baobao Chang and Zhifang Sui, An Ontology Matching Approach Based on Affinity-Preserving Random Walks, Proceedings of the 24th International Joint Conference on Artificial Intelligence(IJCAI 2015), Buenos Aires, Argentina, 2015
20.Chuncheng Xiang, Tingsong Jiang, Baobao Chang and Zhifang Sui, ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation, EMNLP 2015
21.Tao Ge, Heng Ji, Baobao Chang and Zhifang Sui, One Tense Per Scene: Predicting Tense In Chinese Conversations, Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015), Beijing, China, 2015
22.Tao Ge, Wenzhe Pei, Baobao Chang, Zhifang Sui, Distinguishing specific and daily topics, Asia-Pacific Web Conference, Guangzhou China, 2015
23.ZhenWang, Tingsong Jiang, Baobao Chang, Zhifang Sui, Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks, EMNLP 2015
24.王臻，穗志方，常宝宝，基于分层输出神经网络的汉语语义角色标注，2015年全国计算语言学年会
25.L. Li, B. Chang, S. Zhao, L. Sha, X. Sun, H. Wang.Multi-label Text Categorization with Joint Learning Predictions-as-Features Method. EMNLP 2015: 835-839
26.Jin-ge Yao, Xiaojun Wan and Jianguo Xiao. Compressive Document Summarization via Sparse Optimization. In IJCAI 2015. (Full Oral Paper)
27.Jin-ge Yao, Xiaojun Wan and Jianguo Xiao. Phrase-based Compressive Cross-Language Summarization. In EMNLP 2015. (Long Paper)
28.Jiwei Tan, Xiaojun Wan and Jianguo Xiao. Joint Matrix Factorization and Manifold-Ranking for Topic-Focused Multi-Document Summarization. In SIGIR 2015. (Short Paper)
29.Jiwei Tan, Xiaojun Wan and Jianguo Xiao. Learning to Recommend Quotes for Writing. In AAAI 2015. (Full Oral Paper, Acceptance rate for full oral paper is 12%)
30.Su Yan, Xiaojun Wan. Deep Dependency Sub-Structure Based Learning for Multi-Document Summarization. ACM Transactions on Information Systems (TOIS).
31.Xiaojun Wan and Yue Hu. BrailleSUM: A News Summarization System for the Blind and Visually Impaired People. In ACL 2015. (Short Paper)
32.Xiaojun Wan, Jianmin Zhang, Shiyang Wen and Jiwei Tan. Overview of the NLPCC 2015 Shared Task: Weibo-Oriented Chinese News Summarization. In NLPCC2015. (Invited Paper)
33.Xinjie Zhou, Xiaojun Wan and Jianguo Xiao. CLOpinionMiner: Opinion Target Extraction in a Cross-Language Scenario. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP).
34.Xinjie Zhou, Xiaojun Wan and Jianguo Xiao. Representation Learning for Aspect Category Detection in Online Reviews. In AAAI 2015. (Full Oral Paper, Acceptance rate for full oral paper is 12%)
35.Yantao Du, Fan Zhang, Xun Zhang, Weiwei Sun and Xiaojun Wan. Peking: Building Semantic Dependency Graphs with a Hybrid Parser. In SemEval 2015. (Oral Talk)
36.Yantao Du, Weiwei Sun and Xiaojun Wan. A Data-Driven, Factorization Parser for CCG Dependency Structures. In ACL 2015. (Full Oral Paper)
37.Yue Hu and Xiaojun Wan. PPSGen: Learning-Based Presentation Slides Generation for Academic Papers.IEEE Transactions on Knowledge and Data Engineering (TKDE).
38.Lvexing Zheng, Houfeng Wang, and Xueqiang Lv. Improving Chinese Dependency Parsing with Lexical Semantic Features. NLPCC2015, LNCS9362(Springer), 36-46
39.Qing Zhang, Houfeng Wang. Improving Collaborative Filtering via Hidden Structured Constraint. CIKM’15, October 19–23, 2015, Melbourne, Australia, 1935-1938
40.RuiCai, Houfeng Wang, and Junhao Zhang. Learning Entity Representation for Named Entity Disambiguation. CCL&NLP-NABD 2015, LNAI 9427(Springer), 267-278
41.RuiCai, Miaohong Chen, and Houfeng Wang. Nonparametric Symmetric Correspondence Topic Models for Multilingual Text Analysis. NLPCC2015, LNCS9362(Springer), 270-281
42.Xiaodong Zhang, Houfeng Wang, Li Li, Maoxiang Zhao, and Quanzhong Li. Negative Emotion Recognition in Spoken Dialogs. CCL & NLP-NABD 2015, LNAI 9427(Springer),103-115
43.陈晨，王厚峰，中文跨文本人名同名同指消解研究，江西师范大学学报:自然科学版, 2015, 02期(2),111-116
44.宋洋，王厚峰，基于马尔可夫逻辑的中文零指代消解，计算机研究与发展，2015(09),2114-2122
45.宋洋,王厚峰. 共指消解学习方法综述, 中文信息学报，2015(01)
46.Lei Wang, Shiwen Yu, Zhimin Wang, Weiguang Qu, Houfeng Wang. Emotional Classification of Chinese Idioms Based on Chinese Idiom Knowledge Base. 16th Workshop, CLSW 2015, Beijing, China, May 9-11, 2015, Revised Selected Papers, pp. 197-203
47.俞士汶，罗凤珠，朱学锋，王雷，常宝宝. 面向语言能力提升的汉语成语知识库及其扩展. 西华大学学报（自然科学版）. 第34卷第5期
48.Wu Yunfang,Wan Fuqiang, Xu Yifeng, Lv Xueqiang. 2015. A New Ranking Method for Chinese Discourse Tree Building. 《北京大学学报（自然科学版）》.
49.Yixiu Wang, Yunfang Wu and Xueqiang Lv. 2015. Multi-sentence Question Segmentation and Compression for Question Answering. NLPCC 2015,Pp 475-483.
50.吴云芳，徐艺峰， 王恺然. 2015. 汉语篇章级小句关系的标注体系. 《中文信息学报》Vol 29(3): 71-81.
51.项梦冰. 海口方言的 /x h 0/ 声母（第一作者），《现代语言学》(OA期刊)2015 第 4 期
52.项梦冰. 聚类分析在汉语方言研究中的运用，《语文研究》2015 年第 4 期
53.段慧明，朱学锋，俞士汶，吴云芳.《现代汉语多级标注语料库的建设及其应用》.《中国语言学报》,JCL Monograph series number 25.
54.王萌，俞士汶，朱学锋.《自然语言处理及其教育应用》.《数学的实践与认识》,第四十五卷第二十期.
55.俞士汶，朱学锋.《词汇计量研究与常用词知识库建设》.《中文信息学报》,2015年第29卷第3期.
56.袁毓林，《汉语意合语法的认知机制和描写体系》，日本《中国语学》第262号，2015年，第1-30页。
57.崔璨、袁毓林，《“胜败”类动词的及物性类型分析》，《语言教学与研究》2015年第5期，第53-62页
58.李强、袁毓林，《服务于国际汉语教学的同义名词辨析查询系统建设》，《对外汉语研究》第12期，第115-123页，商务印书馆，2015年4月。
59.刘洪超、詹卫东、黄居仁，2015，影响“A+一+X，B+一+Y”构式义凸显的因素，第十六届汉语词汇语义学国际研讨会，2015.05.09-11，北京师范大学。
60.向春丞、穗志方、詹卫东，2015，HowNet与CCD映射方法研究，《中文信息处理学报》2015年第3期（Vol.29, No.3）pp.44-51。
61.Liang Hong, Zheng Yu, Duncan Yung, Jingbo Shang and Lei Zou, Detecting Urban Black Holes Based on Human Mobility Data, SIG SPATIAL/GIS 2015
62.Peng Peng, Lei Zou, Lei Chen, Dongyan Zhao, Query Workload-based RDF Graph Fragmentation and Allocation, EDBT 2016
63.Sujian Li,Yang Liu. A Novel Neural Topic Model and Its Supervised Extension, Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence,2015
64.Qing Zhang, Houfeng Wang. Collaborative Multi-view Learning with Active Discriminative Prior for Recommendation. PAKDD 2015, Part I, LNAI 9077 (Springer), 355–368
65.Fei Wang, and Yunfang Wu. 2015. Sentiment-Bearing New Words Mining:Exploiting Emoticons and Latent Polarities. Proceedings of 15th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2015), Pp 261-273.
66.Mou Wenlong, Sun Ni, Zhang Junhao, Yang Zhixuan, Hu Junfeng*，Politicize and Depoliticize: A Study of Semantic Shifts on People’s Daily Fifty Years’ Corpus via Distributed Word Representation Space，CLSW2015
67. 俞士汶，朱学锋，耿立波，自然语言处理技术与语言深度计算，中国社会科学，2015年第3期
68.《“NP+V起来+AP”句式的语义分析》，《中国语言学》第8辑，第123-132页，北京大学出版社，2015年10月出版。第二作者，署名顺序：王璐璐、袁毓林。
69.黄思思、詹卫东，2015，“r+v+r+的+n”构式的使用环境及其语义分析，第十六届汉语词汇语义学国际研讨会，2015.05.09-11，北京师范大学。
70.詹卫东，2015，现代汉语构式语料库的标注规范及初步实践，第五届现代汉语句法语义前沿学术研讨会, 北京大学，2015.12.11-13。
2016年论文：
1.Lei Sha, Sujian Li, Baobao Chang and Zhifang Sui, Joint Learning Templates and Slots for Event Schema Induction，NAACL HLT 2016
2.Lei Sha, Jing Liu, Chin-Yew Lin, Sujian Li, Baobao Chang and Zhifang Sui，RBPB: Regularization-Based Pattern Balancing Method for Event Extraction，ACL2016
3.Tao Ge, Lei Cui, Baobao Chang, Sujian Li, Ming Zhou, Zhifang Sui， News Stream Summarization using Burst Information Networks，EMNLP2016
4.Tingsong Jiang, Lei Sha, Tianyu Liu, Baobao Chang, Sujian Li, Tao Ge and Zhifang Sui, Encoding Temporal Information for Time-Aware Link Prediction, EMNLP 2016
5. Lei Sha, Li Sujian, Baobao Chang, Zhifang Sui, Capturing Argument Connection for Chinese Semantic Role Labeling, EMNLP 2016
6.Tao Ge, Lei Cui, Heng Ji, Baobao Chang, and Zhifang Sui, Discovering Concept-level Event Associationsfrom a Text Stream, NLPCC-ICCPOL 2016
7. Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li and Zhifang Sui,Towards Time-Aware Knowledge Graph Completion, COLING 2016
8. Lei Sha, Baobao Chang, Zhifang Sui, Sujian Li, Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition, COLING 2016
9. Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Ming Zhou, Event Detection with Burst Information Networks, COLING 2016
10.Wenhui Wang, Baobao Chang, Graph-based Dependency Parsing with Bidirectional LSTM, ACL 2016.
11.Qi Li, Tianshi Li, Baobao Chang, Discourse Parsing with Attention-based Hierarchical Neural Network, EMNLP 2016.
12.Qi Li, Tianshi Li, Baobao Chang, Learning Word Sense Embeddings from Word Sense Definitions, NLPCC 2016.
13.Tianshi Li, Qi Li, Baobao Chang, Improving Chinese Semantic Role Labeling with English Proposition Bank, CCL & NLP-NABD 2016.
14.Wenhui Wang, Baobao Chang, Improved Graph-based Dependency Parsing via Hierarchical LSTM Networks, CCL & NLP-NABD 2016.
15.Li, W. and Wu, Y. 2016. Multi-level Gated Recurrent Neural Network for Dialog Act Classification. Proceedings of COLING-2016.
16.Bao, X. and Wu, Y. 2016. A Tensor Neural Network with Layerwise Pretraining: Towards Effective Answer Retrieval. Journal of Computer Science and Technology （JCST）, 31(6): 1151–1160 .
17.Bao, X. and Wu, Y. 2016. A New Focus Strategy for Efficient DialogManagement. Proceedings of CCL-2016.
18.Wu, Y. and Li, W. 2016. Overview of the NLPCC-ICCPOL 2016 Shared Task: Chinese Word Similarity Measurement. Proceedings of NLPCC-2016.
19.Li, W.，Wu, Y and Lv X. 2016. Improving Word Vector with Prior Knowledge in Semantic Dictionary. Proceedings of NLPCC-2016.
20.Yang Liu, Sujian Li, Xiaodong Zhang, Zhifang Sui. Implicit Discourse Relation Classification via Multi-task Neural Networks. Feb.12-19. U.S.A. AAAI 2016.
21.Ziqiang Cao，Chengyao Chen, Wenjie Li, Sujian Li, Furu Wei. TGSum: Build Tweet Guided Multi-Document Summarization Dataset. Feb.12-19. U.S.A. AAAI 2016.
22.Yang Liu, Sujian Li, Furu Wei, Heng Ji. Relation Classification via augmented dependency path. IEEE/ACM Transactions on Audio, Speech and Language Processing.
23.Yang Liu, Sujian Li, Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention. EMNLP 2016.
24.Ziqiang Cao, Wenjie Li, Sujian Li, AttSum: Joint Learning of Focusing and Summarization with Neural Attention, COLING 2016.
25.Yang Liu, Xuan Chen,Sujian Li,Liang Wang, An Adptive User Model for Followee Recommendation on Twitter. NLPCC 2016.
26.Liang Wang, Sujian Li, Xinyan Xiao, Yajuan Lv, Topic Segmentation of Web Documents with Automatic CuePhrase Identification and BLSTM-CNN, NLPCC 2016.
27.Liang Wang, Qi Li, Xuan Chen, Sujian Li, Multi-task Learning for Gender and Age Prediction on Chinese Microblog, NLPCC 2016.
28.An Yang, Sujian Li, Yun Li, 基于领域知识和词向量的词义消歧方法, NLPCC 2016.
29.Weidong Zhan & Xiaojing Bai, 2016, Chapter 14 Sentence types, in Chu-Ren Huang & Dingxu Shi, eds., 2016, A Reference Grammar of Chinese, Cambridge University Press, ISBN: 9780521181051
30.詹卫东，2016，从短语到构式：构式知识库建设的若干理论问题探析，第十五届全国计算语言学会议,鲁东大学，2016.10.14-16
31.Sisi Huang & Weidong Zhan, 2016, A Constructional Approach to a Personal Pronoun Marked Construction in Mandarin Chinese, In Qin Lu and Helena Hong Gao (Eds.): CLSW 2015, Lecture Notes in Artificial Intelligence No.9332, pp. 625–637, DOI: 10.1007/978-3-319-27194-1_62
32.田元贺、刘扬，汉语未登录词的词义知识表示及语义预测，中文信息学报，第30卷第6期，2016
33.Qing Zhang, Houfeng Wang. Not All Links Are Created Equal: An Adaptive Embedding Approach for Social Personalized Ranking. In Proceedings of SIGIR ’16, 917-920, Pisa, Italy, July 17-21, 2016. （CCF A 类）
34.Qing Zhang, Houfeng Wang. Collaborative Filtering with Generalized Laplacian Constraint via Over lapping Decomposition. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16),2329-2335,New York. July 9-15. （CCF A 类）
35.Rui Cai,Xiaodong Zhang and Houfeng Wang. Bidirectional Recurrent Convolutional Neural Network for Relation Classification. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 756–765, Berlin, Germany, August 7-12, 2016 （CCF A 类）
36.Chen Shi, Shujie Liu, Shuo Ren, Shi Feng, Mu Li, Ming Zhou, Xu Sun, Houfeng Wang. Knowledge-Based Semantic Embedding for Machine Translation. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2245–2254, Berlin, Germany, August 7-12, 2016 （CCF A 类）
37.Xu Sun，Asynchronous Parallel Learning for Neural Networks and Structured Models with Dense Features ，COLING 2016.
38.Hangfeng He, Xu Sun，A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media， AAAI 2017.
39.Jingjing Xu, Xu Sun，Dependency-based Gated Recursive Neural Network for Chinese Word Segmentation， ACL 2016. Short paper.
40.C. Shi, S. Liu, S. Ren, S. Feng, M. Li, M. Zhou, X. Sun, H. Wang，Knowledge-Based Semantic Embedding for Machine Translation， ACL 2016.
41.Haoyue Shi, Caihua Li, Junfeng Hu, Real Multi-Sense or Pseudo Multi-Sense: An Approach to Improve Word Representation, Coling Workshop "Computational Linguistics for Linguistic Complexity" (CL4LC)
42.Xiaoliu mingjing, Ruan Chong, Junfeng Hu, Domain ontology learning enhanced by optimized relation instance in DBpedia. 10th International Conference on Language Resources and Evaluation LREC2016
43.项梦冰，《古全浊声母今读的聚类分析和主坐标分析》，《云南民族大学学报》（哲学社会科学版）第三期，2016年，114-122。
44.张迎雪、项梦冰，《汉语方言里的西红柿》，《现代语言学》第三期，2016年，56-80。（说明：本人执笔部分超过三分之二，并负责全文的统稿，为了激励研究生的专业兴趣，署名研究生优先）
45.杨加玉、曾志明、黄婷婷、杜严、项梦冰，《铜鼓客家话音系》，《现代语言学》第四期，2016年，127-160。（说明：全文由本人执笔，但为了激励同学的专业兴趣，署名同学优先）
46.董秀芳，从比较选择到建议：兼论成分隐含在语义演变中的作用，《云南民族大学学报》2016年第3期：108-113页
47.Xinjie Zhou, Xiaojun Wan, Jianguo Xiao. CMiner: Opinion Extraction and Summarization for Chinese Microblogs. IEEE Transactions on Knowledge and Data Engineering (TKDE).
48.Xun Zhang, Yantao Du, Weiwei Sun, Xiaojun Wan. Transition-based Parsing for Deep Dependency Structures. Computational Linguistics.
49.Xiaojun Wan and Tianming Wang. Automatic Labeling of Topic Models Using Text Summaries. In ACL 2016. (Full Paper)
50.Jianmin Zhang, Jin-ge Yao and Xiaojun Wan. Toward Constructing Sports News from Live Text Commentary. In ACL 2016. (Full Paper)
51.Xinjie Zhou, Xiaojun Wan and Jianguo Xiao. Cross-Lingual Sentiment Classification with Bilingual Document Representation Learning. In ACL 2016. (Full Paper)
52.Yang Yu, Xiaojun Wan and Xinjie Zhou. User Embedding for Scholarly Microblog Recommendation. In ACL 2016. (Short Paper)
53.Jin-ge Yao, Feifan Fan, Wayne Xin Zhao, Xiaojun Wan, Edward Chang, Jianguo Xiao. Tweet Timeline Generation with Determinantal Point Processes. In AAAI 2016. (Full Paper)
54.Yang Yu and Xiaojun Wan. MicroScholar: Mining Scholarly Information from Chinese Microblogs. In AAAI 2016. (Student Poster Paper)
55.Jiwei Tan, Xiaojun Wan and Jianguo Xiao. A Neural Network Approach to Quote Recommendation in Writings. In CIKM 2016. (Full Paper)
56.Ziwei Zheng and Xiaojun Wan. Graph-Based Multi-Modality Learning for Clinical Decision Support. In CIKM 2016. (Short Paper)
57.Xinjie Zhou, Xiaojun Wan and Jianguo Xiao. Attention-based LSTM Network for Cross-Lingual Sentiment Classification. In EMNLP 2016. (Full Paper)
58.Jianmin Zhang, Tianming Wang and Xiaojun Wan. PKUSUMSUM: A Java Platform for Multilingual Document Summarization. In COLING 2016. (Demo Paper,project)
59.Xiaojun Wan, Jianmin Zhang, Jin-ge Yao and Tianming Wang. Overview of the NLPCC-ICCPOL 2016 Shared Task: Sports News Generation from Live Webcast Scripts. In NLPCC-ICCPOL 2016. (Invited Paper)
60.《“什么”句否定意义的形成与识解机制》，《世界汉语教学》2016年第3期，第 303-317 页。第一作者，署名顺序：袁毓林、刘彬。中国人民大学复印报刊资料《语言文字学》2016年第10期，第64-76页。全文转载
61.《当前修辞学教学的若干问题》，《当代修辞学》2016年第 4 期，第 34-45 页。第一作者，署名顺序：袁毓林、李新良
62.《“S1S2 是 V”句式的主观性及其形成机制》，《语文研究》2016年第 3 期，第 39-43 页。第二作者，署名顺序：刘彬、袁毓林
63.《汉语“比”字句关键要素的常规序列模式探索》，《中文信息学报》2016年第 4 期，第 12-20 页。第三作者，署名顺序：朴敏俊、李强、袁毓林
64.《量词“场”的事件量化功能分析》，《语言研究》2016年第 4 期，第 1-9 页。第二作者，署名顺序：李强、袁毓林
65.《中国大学生反事实思维及其表达的乐观主义倾向》，《汉语学报》2016年第 4 期，第 27-40 页。第一作者，署名顺序：袁毓林、张驰
66.Feifan Fany Yansong Feng yz_ Lili Yaoy Dongyan Zhao, Adaptive Evolutionary Filtering in Real-Time Twitter Stream, Proceedings of the 25th ACM International on Conference on Information and Knowledge Management(CIKM-2016)
67.Wu, Y., Wan F., Xu, Y and Lv X. 2016. A New Ranking Method for Chinese Discourse Tree Building. 《北京大学学报（自然科学版）》
68.Weidong Zhan, 2016, Peking University Treebank, in: Encyclopedia of Chinese Language and Linguistics, General Editor Rint Sybesma. First published online: 2015, Brill Publishing House, The Netherlands
69.黄思思、詹卫东，2016，构式情感特征初探，第十七届汉语词汇语义学国际研讨会（CLSW2016），新加坡南洋理工大学，2016.5.20-22
70.何燕, 刘扬，基于二元依存关系的汉语语序分析，第十七届汉语词汇语义学研讨会（CLSW2016）, 新加坡，2016
71.Zhixuan Yang, Chong Ran, Junfeng Hu. Optimize Hierarchical Softmax with Word Similarity Knowledge, 17th International Conference on Intelligent Text Processing and Computational Linguistics, CICLing2016
72.俞士汶，朱学锋. 综合型语言知识库及其在汉语国际传播中的应用. 马秋武主编第三届汉语国际传播学术研讨会论文集. 北京：外语教学与研究出版社 2015年10月第1版. 79-86
73.Lulu WANG, Yulin YUAN, Yunxuan LI, and Yixiao JIANG. 2016. The Classification and Teaching Strategies of Chinese ba-sentences in Second Language Acquisition. Applied Chinese Language Studies VII.1-11. 第二作者，署名顺序：王璐璐、袁毓林、蒋一笑
74.《现代汉语“S1S2 是 V”句式的句法特点研究》，《对外汉语研究》2016年第 14 期，第 19-31 页。第二作者，署名顺序：刘彬、袁毓林
2017年论文：
1.常宝宝, 基于深度学习的图解码依存分析研究进展, 《山西大学学报》(自然科学版)，第40卷，第3期，2017.(核心期刊)
2.Qiaolin Xia, Lei Sha, Baobao Chang, Zhifang Sui, A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data, ACL 2017.(CCF A类)
3.WenhuiWang, Nan Yang, Furu Wei, Baobao Chang, Ming Zhou, Gated Self-Matching Networks for Reading Comprehension and Question Answering, ACL 2017. (CCF A类)
4.Tianyu Liu, Kexiang Wang, Baobao Chang, Zhifang Sui, A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction, EMNLP 2017.(A类)
5.Kexiang Wang, Tianyu Liu, Zhifang Sui, Baobao Chang, Affinity-Preserving RandomWalk for Multi-Document Summarization, EMNLP 2017.(A类)
6.Feng Qian, Lei Sha, Baobao Chang, Lu-chen Liu, Ming Zhang, Syntax Aware LSTM model for Semantic Role Labeling, Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing. 2017.
7.李天时, 李琦, 王文辉, 常宝宝, 基于外部记忆单元和语义角色知识的文本复述判别模型, CCL 2017.
8.Tianyu Liu, Baobao Chang, Zhifang Sui, Large-scale Simple Question Generation by Template-based Seq2seq Learning, NLPCC 2017.(Best Student Paper)
9.董秀芳，动词后虚化完结成分的使用特点及性质，《中国语文》2017年第3期：290-298页。转载于人大复印报刊资料《语言文字学》2017年第10期：120-127页。
10.董秀芳，从动作的重复和持续到程度的增量和强调，《汉语学习》2017年第4期：3-12页。
11.董秀芳，汉语词汇化研究的意义、存在的疑问以及新的研究课题，《历史语言学研究》第11辑：272-283页。商务印书馆，2017年10月。
12.Xiaodong Zhang, Sujian Li, Lei Sha, Houfeng Wang, Attentive Interactive Neural Networks for Answer Selection in Community Question Answering, AAAI 2017.
13.Ziqiang Cao, Wenjie Li, Chuwei Luo, Sujian Li, Joint Copying and Restricted Generation for Paraphrase, AAAI 2017.
14.Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei, Improving Multi-Document Summarization via Text Classification, AAAI 2017.
15.Yizhong Wang, Sujian Li, Houfeng Wang, A Two-stage Parsing Method for Text-level Discourse Analysis, ACL 2017.
16.Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang, Interactive attention networks for Aspect-Level Sentiment Classification, IJCAI 2017.
17.吴永芃，李素建，秦沐坤，杨安，王厚峰, 中英文篇章依存树库构建与分析, CCL 2017.
18.Wei Wu, Houfeng Wang, Sujian Li, Bi-directional gated memory networks for answer selection，Nanjing, CCL2017.
19.Wenhao Ying, Zhifang Sui, Sujian Li, 一种话题敏感的抽取式多文档摘要, CCL2017.
20.Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang, Cascading Multiway Attentions for Document-level Sentiment Classification, IJCNLP2017.
21.Yizhong Wang, Sujian Li, Jingfeng Yang, Xu Sun, Houfeng Wang. Tag-enhanced tree-structured neural networks for implicit discourse relation classification. IJCNLP2017.
22.Liang Wang, Sujian Li, Yajuan Lyu and Houfeng Wang, Learning to Rank Semantic Coherence for Topic Segmentation. EMNLP2017.
23.康司辰,刘扬.基于语义构词的汉语词语语义相似度计算[J].中文信息学报,2017,31(1).
24.刘扬,林子,康司辰.汉语的语素概念提取与语义构词分析[C].CCL 2017,南京.
25.Qiaolin Xia, Lei Sha, Zhifang Sui and Baobao Chang, A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data, ACL 2017
26.Kexiang Wang, Tianyu Liu, Zhifang Sui and Baobao Chang，Affinity-Preserving Random Walk for Multi-Document Summarization，Conference on Empirical Methods in Natural Language Processing，EMNLP 2017
27.Tianyu Liu,Kexiang Wang, Baobao Chang, Zhifang Sui, A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction，Conference on Empirical Methods in Natural Language Processing，EMNLP 2017
28.Tianyu Liu,Bingzhen Wei, Baobao Chang, Zhifang Sui, Large-scale Simple Question Generation by Template-based Seq2seq Learning, NLPCC2017(Best Student Paper)
29.Lei Sha, Feng Qian and Zhifang Sui, Will Repeated Reading Benefit Natural Language Understanding? , NLPCC2017
30.应文豪，李素建，穗志方，一种话题敏感的抽取式多文档摘要方法，第16届全国计算语言学会议，2017年10月，南京
31.Shuming Ma, Xu Sun, Jingjing Xu, Houfeng Wang, Wenjie Li, Qi Su. Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization.ACL 2017
32.Hangfeng He, Xu Sun. A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media. AAAI 2017: 3216-3222.
33.Hangfeng He, Xu Sun. F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media. EACL 2017.
34.Xu Sun, Xuancheng Ren, Shuming Ma, Houfeng Wang. meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting. The 34th International Conference on Machine Learning (ICML 2017)
35.Shen Huang, Xu Sun, Houfeng Wang.Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure. IJCNLP 2017
36.Yizhong Wang, Sujian Li, Jingfeng Yang, Xu Sun, Houfeng Wang.Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification. IJCNLP 2017
37.Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang, Xu Sun. Cascading Multiway Attentions for Document-level Sentiment Classification. IJCNLP 2017
38.Jingjing Xu, Shuming Ma, Yi Zhang, Bingzhen Wei, Xiaoyan Cai, and Xu Sun. Transfer Deep Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network. NLPCC 2017
39.Xiaodong Zhang, Sujian Li, Lei Sha, Houfeng Wang. Attentive Interactive Neural Networks for Answer Selection in Community Question Answering, AAAI-2017,USA
40.Dehong Ma, Sujian Li1, Xiaodong Zhang, Houfeng Wang. Interactive Attention Networks for Aspect-Level Sentiment Classification, IJCAI-2017, Australia
41.Qing Zhang, Houfeng Wang.Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective. EMNLP-2017,Denmark
42.孙鑫，王厚峰.问答中的问句意图识别和约束条件分析, CCL2017, China
43.Wei Wu, Houfeng Wang. Bi-directional Gated Memory Networks for Answer Selection. CCL & NLP-NABD 2017, China
44.Lei Wang, Shiwen Yu, Houfeng Wang. Construction of an Online Lexicon of Chinese Loan Words and Phrases Translated from English. Proceedings of CLSW 2017, Leshan, China, May 18-20, 2017, Revised Selected Papers, pp. 197-203
45.Lei Wang, Shujing Li, Houfeng Wang, Shiwen Yu. Corpus-based Automatic Generation of Multiple Choice Questions for College English Tests. Advances in Humanities and Social Science Research, (ed) Wang et al. 2017 2nd International Conference on Modern Management, Education Technology, and Social Science(MMETSS 2017), Singapore, July 28-30, 2017, pp.156-162
46.Lei Wang, Houfeng Wang, Shiwen Yu. Semantic Computing and Language Knowledge Bases. 3rd International Conference on Applied Materials and Manufacturing Technology(ICAMMT 2017). Changsha, China, June 23-25, 2017, pp.1-5
47.李伟康，李炜，吴云芳. 2017. 深度学习中汉语字向量和词向量结合方式探究，中文信息学报，2017.11，31(6)：16~22
48.Yunfang Wu，Minghua Zhang. 2017. Overview ofthe NLPCC 2017 Shared Task: Chinese Word Semantic Relation Classification，NLPCC 2017.
49.Xinqi Bao, Yunfang Wu. 2017. Exploiting Explicit Matching Knowledge with Long Short-Term Memory，CCL，南京，2017.
50.Wei Li, Yunfang Wu. 2017. Hierarchical Gated Recurrent Neural Tensor Network for Answer Triggering. CCL，南京，2017.
51.项梦冰，北方官话和东南诸方言——词汇语法“基因”的透视，现代语言学, 2017, 5(1), 40-57
52.项梦冰，上犹客家话音系，现代语言学, 2017, 5(4), 375-398
53.柯永红，俞士汶，穗志方，宋继华. 基于群体智慧的语料标注方法研究. 《中文信息学报》2017年第4期，108-113.
54.《“知道”的叙实性及其置信度变异的语法环境》，《中国语文》2017年第1期，第42-52页。第二作者，署名顺序：李新良、袁毓林。
55.《疑问代词“谁”的虚指和否定意义的形成机制》，《语言科学》2017年第2期，第113-125页。第一作者，署名顺序：袁毓林、刘彬。中国人民大学复印报刊资料《语言文字学》2017年第8期，第62-73页。全文转载。
56.《汉语定语小句的类型及其句法表现》，《语言教学与研究》2017年第4期，第67-78页；第二作者，署名顺序：寇鑫、袁毓林。
57.《事件属性名词与自指“的”字结构的选择限制》，《当代语言学》2017年第3期，第396-418页；第二作者，署名顺序：寇鑫、袁毓林。
58.《反问句否定意义的形成与识解机制》，《语文研究》2017 年第4期，12-19页；第二作者，署名顺序：刘彬、袁毓林。
59.《现代汉语“给VP”结构的及物性分析》，《汉语学习》2017年第6期，第12-20页；第二作者，署名顺序：寇鑫、袁毓林。
60.詹卫东，从短语到构式：构式知识库建设的若干理论问题探析，《中文信息学报》2017年第1期。
61.黄思思、詹卫东，网络语言中构式的形成机制初探，《中文信息学报》2017年第3期。
62.Jin-ge Yao, Xiaojun Wan and Jianguo Xiao. Recent Advances in Document Summarization. Knowledge and Information Systems (KAIS).
63.Jin-ge Yao and Xiaojun Wan. Greedy Flipping for Constrained Word Deletion. In AAAI 2017. (Full Paper)
64.Sida Wang, Xiaojun Wan and Shikang Du. Phrase-Based Presentation Slides Generation for Academic Papers. In AAAI 2017. (Full Paper)
65.Fang Liu and Xiaojun Wan. ATSUM: Extracting Attractive Summaries for News Propagation on Microblogs. In AAAI 2017. (Student Short Paper)
66.Jiwei Tan, Xiaojun Wan and Jianguo Xiao. Abstractive Document Summarization with a Graph-Based Attentional Neural Model. In ACL 2017. (Outstanding Long Paper)
67.Junjie Cao, Sheng Huang, Weiwei Sun and Xiaojun Wan. Parsing to 1-Endpoint-Crossing, Pagenumber-2 Graphs. In ACL 2017. (Long Paper)
68.Weiwei Sun, Junjie Cao and Xiaojun Wan. Semantic Dependency Parsing via Book Embedding. In ACL 2017. (Long Paper)
69.Jiwei Tan, Xiaojun Wan and Jianguo Xiao. From Neural Sentence Summarization to Headline Generation: A Coarse-to-Fine Approach. In IJCAI 2017. (Full Paper)
70.Wei Wei and Xiaojun Wan. Learning to Identify Ambiguous and Misleading News Headlines. In IJCAI 2017. (Full Paper)
71.Weiwei Sun, Yantao Du and Xiaojun Wan. Parsing for Grammatical Relations via Graph Merging. In CoNLL 2017. (Full Paper)
72.Xun Zhang, Weiwei Sun and Xiaojun Wan. The Covert Helps Parse the Overt . In CoNLL 2017. (Full Paper)
73.Hongyu Zang and Xiaojun Wan. Towards Automatic Generation of Product Reviews from Aspect-Sentiment Scores. In INLG 2017. (Full Paper)
74.Jin-ge Yao, Jianmin Zhang, Xiaojun Wan, and Jianguo Xiao. Content Selection for Real-time Sports News Construction from Commentary Texts. In INLG 2017. (Full Paper)
75.Kui Xu and Xiaojun Wan. Towards a Universal Sentiment Classifier in Multiple Languages. In EMNLP 2017. (Full Paper)
76.Junjie Cao, Sheng Huang, Weiwei Sun and Xiaojun Wan. Quasi-Second-Order Parsing for 1-Endpoint-Crossing, Pagenumber-2 Graphs. In EMNLP 2017. (Full Paper)
77.Jianmin Zhang and Xiaojun Wan. Towards Automatic Construction of News Overview Articles by News Synthesis. In EMNLP 2017. (Short Paper)
78.Liunian Li, Xiaojun Wan, Jin-ge Yao and Siming Yan. Leveraging Diverse Lexical Chains to Construct Essays for Chinese College Entrance Examination. In IJCNLP 2017. (Short Paper)
79（原2014-47）.肖刘明镜，周志，邹小军，胡俊峰，“一种基于本体的稿件-审阅人相关度度量方法”，中文信息学报，31(2):163-168
79.Liang Wang and Sujian Li, PKU_ICL at SemEval-2017 Task 10: Keyphrase Extraction with Model Ensemble and External Knowledge, Semeval 2017.
80.Lei Wang, Weiguang Qu, Houfeng Wang, Shiwen Yu. Literal Translation or Free Translation: A Computational Perspective, International Journal of Advanced Intelligence, Volume9(2017.1) : 1-9
81.俞士汶，朱学锋，邱立坤，昝红英. 两部词典的词类体系与词语归类之比较. 亢世勇主编《辞书研究与辞书发展论集（第3辑）》，上海辞书出版社. 2017年10月第1版，31-46
82.黄思思、詹卫东，基于符号的构式语法（SBCG）评介，第三届国际汉语句式研讨会，2017年11月11-12日，南京审计大学文学院（南京）
83.曹晓玉、詹卫东，基于“构式—组块”分析法的连字句教学研究，第三届国际汉语句式研讨会，2017年11月11-12日，南京审计大学文学院（南京）
84.黄思思、詹卫东，“不管”义构式的出现语境及交际功能研究，汉语研究与汉语教学研讨会，2017年4月27-29日，四川外国语大学中文系（重庆）
2018年论文：
1.Wenhui, Wang, Baobao Chang and Mairgup Mansur. Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 2857–2863, Brussels, Belgium, October 31 - November 4, 2018.
2.Yao Fu and Yansong Feng, Natural Answer Generation with Heterogeneous Memory, in Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) (NAACL 2018)
3.Yanyan Jia, Yuan Ye, Yansong Feng, Yuxuan Lai, Rui Yan and Dongyan Zhao, Modeling Discourse Cohesion for Discourse Parsing via Memory Network, in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (ACL 2018)
4.Feifan Fan, Yansong Feng and Dongyan Zhao, Multi-grained Attention Network for Aspect-Level Sentiment Classification, in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018)
5.阮翀，施文娴，李岩昊，翁伊嘉，胡俊峰，基于多译文的中文转述语料库建设及转述评价方案，CCL2018
6.Yinuo Guo, Chong Ruan and Junfeng Hu, Meteor++: Incorporating Copy Knowledge into Machine Translation Evaluation, The THIRD CONFERENCE ON MACHINE TRANSLATION (WMT18)
7.Haoyue Shi, Caihua Li, Junfeng Hu, Real Multi-Sense or Pseudo Multi-Sense: An Approach to Improve Word Representation, Coling Workshop "Computational Linguistics for Linguistic Complexity" (CL4LC), pp79-88
8.刘扬,林子,康司辰. 汉语的语素概念提取与语义构词分析. 中文信息学, 2018, 32(2): 12-21
9.段宇光,刘扬,俞士汶.《同义词词林》的嵌入表示与应用评估.厦门大学学报(自然科学版),2018,57(6):868-876.
10.陈龙,饶琪,刘扬. 汉语词的非字面义的表示与应用. 第十七届中国计算语言学大会（CCL2018）（《中国科学》F辑待刊）
11.Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, and Zhifang Sui.Order-planning neural text generation from structured data. AAAI 2018
12.Lei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang, and Zhifang Sui. A multi-view fusionneural network for answer selection. AAAI 2018
13.Lei Sha, Feng Qian, Baobao Chang, and Zhifang Sui. Jointly extracting event triggers andarguments by dependency-bridge rnn and tensor-based argument interaction. AAAI 2018
14.Tianyu Liu, Kexiang Wang, Lei Sha, Zhifang Sui, and Baobao Chang. Table-to-text generationby structure-aware seq2seq learning. AAAI 2018
15.Fuli Luo,Tianyu Liu, Qiaolin Xia,Baobao Chang ,Zhifang Sui. Incorporating Glosses into Neural Word Sense isambiguation. ACL 2018
16.Fuli Luo,Tianyu Liu,Zexue He,Qiaolin Xia,Zhifang Sui,Baobao Chang. Leveraging Gloss Knowledge in Neural Word Sense isambiguation by Hierarchical Co-Attention. EMNLP2018
17.Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou. EventWiki: A Knowledge Base of Major Events. LREC 2018
18.Tao Ge, Qing Dou, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei and Ming Zhou. Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition，EMNLP2018
19.Tingsong Jiang, Jing Liu, Chin-Yew Lin, Zhifang Sui. Revisiting Distant Supervision for Relation Extraction，LREC2018
20.Qiaolin Xia, Peng Jiang, Fei Sun, Yi Zhang, Xiaobo Wang, and Zhifang Sui. Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning，CIKM2018
21.Odmaa Byambasuren, Zhifang Sui, and Baobao Chang. A Research on Construction of Knowledge Fusion Network in Chinese and English Languages， CLSW2018
22.Jingjing Xu, Xu Sun, Qi Zeng, Xiaodong Zhang, Xuancheng Ren, Houfeng Wang, Wenjie Li. Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach. ACL 2018
23.Wei Wu, Xu Sun, Houfeng Wang. Question Condensing Networks for Answer Selection in Community Question Answering. ACL 2018
24.Shuming Ma, Xu Sun, Junyang Lin, Houfeng Wang. Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization. ACL 2018
25.Shuming Ma, Xu Sun, Yizhong Wang, Junyang Lin. Bag-of-Words as Target for Neural Machine Translation. ACL 2018
26.Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma. Automatic Academic Paper Rating Based on Modularized Hierarchical Convolution Neural Network. ACL 2018
27.Junyang Lin, Xu Sun, Shuming Ma, Qi Su. Global Encoding for Abstractive Summarization. ACL 2018
28.Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma, Wei Wu, Houfeng Wang.SGM: Sequence Generation Model for Multi-label Classification.COLING 2018 (Best Paper Award[link])
29.Yi Zhang, Xu Sun, Shuming Ma, Yang Yang, Xuancheng Ren. Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data? COLING 2018
30.Junyang Lin, Xu Sun, Xuancheng Ren, Shuming Ma, Jinsong Su, Qi Su. Deconvolution-Based Global Decoding for Neural Machine Translation. COLING 2018
31.Jingjing Xu, Hangfeng He, Xuancheng Ren, Sujian Li, Xu Sun. Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media: A Unified Model IEEE Transactions on Audio, Speech and Language Processing (TASLP) 26: 2142-2152, 2018
32.Jingjing Xu, Xuancheng Ren, Junyang Lin, Xu Sun. Diversity-Promoting GAN：A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation. EMNLP 2018
33.Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Houfeng Wang, Xu Sun. Stepwise Image- Topic Merging Network for Generating Detailed and Comprehensive Image Captions. EMNLP 2018
34.Jingjing Xu, Yi Zhang, Qi Zeng, Xuancheng Ren, Xiaoyan Cai, Xu Sun. A Skeleton- Based Model for Promoting Coherence Among Sentences in Narrative Story Generation. EMNLP 2018
35.Yi Zhang, Jingjing Xu, Pengcheng Yang, Xu Sun. Learning Sentiment Memories for Sentiment Modification without Parallel Data. EMNLP 2018
36.Liangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng, Xu Sun. An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation. EMNLP 2018
37.Junyang Lin, Qi Su, Pengcheng Yang, Shuming Ma, Xu Sun. Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification. EMNLP 2018
38.Junyang Lin, Xu Sun, Xuancheng Ren, Muyu Li, Qi Su. Learning When to Concentrate or Divert Attention: Automatic Control of Attention Temperature for Neural Machine Translation. EMNLP 2018
39.C. Shi, Q. Che, L. Sha, S. Li, X. Sun, H. Wang, T. Lin. Labeling Dialogue Data with Unsupervised Learning. EMNLP 2018
40.Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren. A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification. IJCAI 2018
41.Chengyao Chen, Zhitao Wang, Wenjie Li, Xu Sun. Modeling Scientific Influence for Research Trending Topic Prediction. AAAI 2018
42.Shuming Ma, Xu Sun, Wei Li, Sujian Li, Wenjie Li, Xuancheng Ren. Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation. NAACL 2018
43.Ji Wen, Xu Sun, Xuancheng Ren, Qi Su. Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text. NAACL 2018
44.Yi Zhang, Xu Sun. A Chinese Dataset with Negative Full Forms for General Abbreviation Prediction. LREC 2018
45.Xuancheng Ren, Xu Sun, Ji Wen, Bingzhen Wei, Weidong Zhan, Zhiyuan Zhang. Building an Ellipsis-aware Chinese Dependency Treebank for Web Text. LREC 2018
46.Shuming Ma, Xu Sun, Yi Zhang, Bingzhen Wei. Accelerating Graph-based Dependency Parsing with Lock-Free Parallel Perceptron. NLPCC 2018
47.Xiaojun Wan, Fuli Luo, Xue Sun, Songfang Huang and Jin-ge Yao. Cross-Language Document Summarization via Extraction and Ranking of Multiple Summaries.Knowledge and Information Systems (KAIS).
48.Jiwei Tan, Xiaojun Wan, Hui Liu and Jianguo Xiao. QuoteRec: Towards Quote Recommendation for Writing. ACM Transactions on Information Systems (TOIS).
49.Ke Wang and Xiaojun Wan. Sentiment Analysis of Peer Review Texts for Scholarly Papers. In SIGIR 2018. (Full Paper)
50.Ke Wang and Xiaojun Wan. SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks. In IJCAI 2018. (Full Paper, Distinguished Paper Award)
51.Tianyu Liu, Wei Wei and Xiaojun Wan. Learning to Explain Ambiguous Headlines of Online News. In IJCAI 2018. (Full Paper)
52.Yajie Ye, Weiwei Sun and Xiaojun Wan. Language Generation via DAG Transduction. In ACL 2018. (Long Paper)
53.Zhiwei Yu, Jiwei Tan and Xiaojun Wan. A Neural Approach to Pun Generation. In ACL 2018. (Long Paper)
54.Yufei Chen, Yuanyuan Zhao, Weiwei Sun and Xiaojun Wan. Pre- and In-Parsing Models for Neural Empty Category Detection. In ACL 2018. (Long Paper)
55.Yufei Chen, Weiwei Sun and Xiaojun Wan. Accurate SHRG-Based Semantic Parsing. In ACL 2018. (Long Paper)
56.Yitao Cai, Yin Li and Xiaojun Wan. Sense-Aware Neural Models for Pun Location in Texts. In ACL 2018. (Short Paper)
57.Liunian Li and Xiaojun Wan. Point Precisely: Towards Ensuring the Precision of Data in Generated Texts Using Delayed Copy Mechanism. In COLING 2018. (Long Paper)
58.Lixin Liu and Xiaojun Wan. Images2Poem: Generating Chinese Poetry From Image Streams. In ACM Multimedia 2018. (Full Paper)
59.Zi Lin, Yuguang Duan, Yuanyuan Zhao, Weiwei Sun and Xiaojun Wan. Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and the L2-L1 Parallel Data. In EMNLP 2018. (Long Paper)
60.Yufei Chen, Sheng Huang, Fang Wang, Junjie Cao, Weiwei Sun and Xiaojun Wan. Neural Maximum Subgraph Parsing for Cross-Domain Semantic Dependency Analysis. In CoNLL 2018. (Long Paper)
61.Xiaodong Zhang, Xu Sun, Houfeng Wang. Duplicate Question Identification by Integrating FrameNet with Neural Networks. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18),6061-6068
62.Wei Wu, Xu Sun, Houfeng Wang.Question Condensing Networks for Answer Selection in Community Question Answering Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Long Papers), 1746-1755
63.Hao Wang, Xiaodong Zhang, Shuming Ma, Xu Sun, Houfeng Wang, Mengxiang Wang.A Neural Question Answering Model Based on Semi-Structured Tables. Proceedings of the 27th International Conference on Computational Linguistics (COLING2018),1941-1951
64.Dehong Ma, Sujian Li and Houfeng Wang. Joint Learning for Targeted Sentiment Analysis. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing(EMNLP2018), 4737-4742
65.Wei Wu, Houfeng Wang, Tianyu Liu and Shuming Ma. Phrase-level Self-Attention Networks for Universal Sentence Encoding. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), 3729-3738
66.Chen Shi, Qi Chen, Lei Sha, Sujian Li, Xu Sun, Houfeng Wang, Lintao Zhang. Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), 684-689
67.Dehong Ma, Sujian Li, and Houfeng Wang. Target Extraction via Feature-Enriched Neural Networks Model. NLPCC 2018, LNAI 11108, 353-364
68.Minghua Zhang, Yufang Wu, Wei Li, Weikang Li. Learning Universal Sentence Representations with Mean-Max Attention Autoencoder. EMNLP-2018.
69.Minghua Zhang, Yunfang Wu. An Unsupervised Model with Attention Autoencoders for Question Retrieval. AAAI-2018.
70.Weikang Li, Wei Li and Yunfang Wu. A Unied Model for Document-based Question Answering Based on Human-like Reading Strategy. 2018. AAAI-2018.
71.詹卫东，近30年来中文语言知识资源发展及应用，《语言战略研究》2018年第4期，58-69
72.黄思思、詹卫东，面向情感分析的构式主观态度义初探，《外语教学》2018年第6期
73.陈龙，詹卫东，施事的语义分布考察与动词的语义特征，第十七届全国计算语言学学术会议暨第六届基于自然标注大数据的自然语言处理国际学术研讨会
74.Yao Fu and Yansong Feng, Natural Answer Generation with Heterogeneous Memory, in Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) (NAACL 2018)
75.Yanyan Jia, Yuan Ye, Yansong Feng, Yuxuan Lai, Rui Yan and Dongyan Zhao, Modeling Discourse Cohesion for Discourse Parsing via Memory Network, in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (ACL 2018)
76.Feifan Fan, Yansong Feng and Dongyan Zhao, Multi-grained Attention Network for Aspect-Level Sentiment Classification, in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018)
77.李强、袁毓林，“都”和“只”的意义和用法同异之辨，《中国语文》2018年第1期，第67-84页
78.李命定、袁毓林，信念与概率：认识情态动词的语义差异及其功能分化，《世界汉语教学》2018年第1期，第26-38页
79.袁毓林，汉语中的概念转喻及其语法学后果，《语言教学与研究》2018年第1期，第30-43页
80.寇鑫、袁毓林，“给VP”结构的主观性分析，《语言科学》2018年第1期，第35-48页
81.袁毓林、寇鑫，现代汉语名词的叙实性研究，《语言研究》2018年第2期，第1-13页
82.张小玲、袁毓林，“真的”的主句现象及其内嵌条件研究，《海外华文教育》2018年第2期，第5-19页
83.袁毓林、张琳莉，苏州话反事实条件句的句法形式，《常熟理工学院学报》2018年第3期，第14-23、32页。该论文被《常熟理工学院学报》编辑部评审委员会评为“2018年度优秀论文”
84.寇鑫、袁毓林，汉语叙实反叙实名词的句法差异及其认知解释，复旦大学汉语言文字学科《语言研究集刊》（第二十辑），第1-14页，上海辞书出版社，2018年6月
85.尹常乐、袁毓林，现代汉语“一个N”结构事件化解读的句法语义机制，《语文研究》2018年第4期，14-22页
86.袁毓林、卢达威，怎样利用语言知识资源进行语义理解和常识推理，《中文信息学报》2018年第12期，11-23页
87.项梦冰，从语言特征分布图到方言分区图——以沂南方言为例，《现代语言学》2018年第1期
88.项梦冰，中国马铃薯历史札记，《现代语言学》2018年第2期
89.项梦冰、周怿培，汉语方言里的马铃薯，《现代语言学》2018年第2期
90.项梦冰，汉语方言里的寻找义动词，《语言研究集刊》第21辑（CSSCI来源集刊，上海辞书出版社2018年）
91.Ziqiang Cao,Wenjie Li, Furu Wei, Sujian Li. Faithful to the Original: Fact Aware Neural Abstractive Summarization. AAAI 2018. (CCF A)
92.Yizhong Wang, Sujian Li, Jingfeng Yang. Toward Fast and Accurate Neural Discourse Segmentation. In: Proc. 2018 Conf. on Empirical Methods in Natural Language Processing (EMNLP2018). 2018.
93.Liang Wang, Sujian Li, Wei Zhao, Kewei Shen, Meng Sun, Ruoyu Jia, Jingming Liu. Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension. In: Proc. the 27th International Conf. on Computational Linguistics (COLING 2018). 2018
94.An Yang, Sujian Li. SciDTB: Discourse Dependency TreeBank for Scientific Abstracts. ACL 2018. (自然语言处理顶级会议，CCF- A类)
95.Yizhong Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li, Haifeng Wang. Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification. ACL 2018. (自然语言处理顶级会议，CCF- A类)
96.Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei. Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization. ACL 2018. (自然语言处理顶级会议，CCF- A类)
97.An Yang, Kai Liu, Jing Liu, Yajuan Lyu, Sujian Li. Adaptations of ROUGE and BLEU for Better Evaluating Yes-No and Entity Answers, MRQA Workshop of ACL 2018.
98.Niantao Xie, Sujian Li, Huiling Ren and Qibin Zhai. Abstractive Summarization Improved by WordNet-based Extractive Sentences, NLPCC 2018.
99. 吴永芃，李素建，秦沐坤，杨安，王厚峰, 中英文篇章依存树库构建与分析,《中文信息学报》 Vol. 32, No. 1. 75-82. 2018.
100.Qianying Liu, Daisuke Kawahara, Sujian Li. Scientic Keyphrase Extraction: Extracting Candidates with Semi-supervised Data Augmentation. CCL 2018.
101.Yi Zhang, Xu Sun. A Chinese Corpus with Negative Full Forms for General Abbreviation Prediction LREC 2018
102.Xuancheng Ren, Bingzhen Wei, Zhiyuan Zhang, Xu Sun. Building an Ellipsis-aware Chinese Dependency Treebank for Web Text LREC 2018
103.Yuqi Sun, Haoyue Shi and Junfeng Hu, Title: Mining Subjective And Sentimental Usage in Multi-sense Word Embedding, 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2018
104.Hao Wang, Xiaodong Zhang, Shuming Ma, Xu Sun, Houfeng Wang. An End-to-End Question Answering Model Based on Semi-Structured Tables. COLING 2018
105.Xiaodong Zhang, Xu Sun, Houfeng Wang. Duplicate Question Identification by Integrating FrameNet with Neural Networks. AAAI 2018
106.Jianmin Zhang, Jiwei Tan and Xiaojun Wan. Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study. INLG 2018. (Long Paper)
107.Hao Wang, Xiaodong Zhang, and Houfeng Wang. A Neural Question Generation System Based on Knowledge Base. NLPCC 2018, LNAI 11108, 133-142
108.张明华，吴云芳, 李伟康，李炜. 基于自编码器的通用性文本表征. CCL-2018.
109.俞士汶，朱学锋，王治敏. 成语知识库及“以”在成语中的词类-义项分布. 北京语言大学对外汉语研究中心 编.《汉语应用语言学研究》（第7辑）. 北京：商务印书馆，2018年9月，1-11
110.俞士汶，朱学锋. 两岸三部词典的词类体系与词语归类之比对. 侍建国，周荐，董琨 主编 《第十届海峡两岸现代汉语问题学术研讨会论文集》. 澳门大学，2018年4月，12-23
111.黄思思，詹卫东，“不a1不a2”构式的多义性及其判定条件研究，第七届全国社会媒体处理大会（SMP2018），2018年8月2日-4日，哈尔滨友谊宫（哈尔滨工业大学承办）（会议论文）
112.陈保亚、陈晓蓓、余德江，音类横向传递的有阶性——从系统和认知的角度看，第十届演化语言学国际研讨会报告，南京大学，2018.10.28
113.Xiaodong Zhang, Xu Sun, Houfeng Wang. Better Duplicate Question Identification by Integrating FrameNet with Neural Networks. (To appear) AAAI 2018