第3期 张勇，等：用于关系抽取的注意力图长短时记忆神经网络 ·527· Shanghai,China:PACLIC,2015:73-78 [24]PENNINGTON J,SOCHER R,MANNING C.GloVe: [17]ZELENKO D,AONE C.RICHARDELLA A.Kernel global vectors for word representation[Cl/Proceedings of methods for relation extraction[J].The journal of ma- the 2014 Conference on Empirical Methods in Natural chine learning research,2003,3:1083-1106. Language Processing.Doha,Qatar:Association for Com- [18]ZENG Daojian,LIU Kang,LAI Siwei,et al.Relation putational Linguistics,2014:1532-1543. classification via convolutional deep neural network [25]YU Bowen,ZHANG Zhenyu,LIU Tingwen,et al.Bey- [Cl//Proceedings of COLING 2014,the 25th Internation- ond word attention:using segment attention in neural re- al Conference on Computational Linguistics:Technical lation extraction[Cl//Proceedings of the 28th Internation- Papers.Dublin,Ireland:Dublin City University and Asso al Joint Conference on Artificial Intelligence.Macao, ciation for Computational Linguistics,2014:2335-2344. 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[19]ZHANG Yuhao,ZHONG V,CHEN Danqi,et al.Posi- [26]LEE J,SEO S,CHOI Y S.Semantic relation classifica- tion-aware attention and supervised data improve slot filling[C]//Proceedings of the 2017 Conference on Empir- tion via bidirectional LSTM networks with entity-aware ical Methods in Natural Language Processing.Copenha- attention using latent entity typing[J].Symmetry,2019, gen,Denmark:Association for Computational Linguist- 11(6)785. ics,2017:35-45 作者简介： [20]马语丹，赵义，金婧，等.结合实体共现信息与句子语义 张勇，教授，博土生导师，博士，中 特征的关系抽取方法[).中国科学：信息科学，2018， 国人工智能学会自然计算与数字智能 48(11):1533-1545 城市专委会委员，主要研究方向为智 MA Yudan,ZHAO Yi,JIN Jing,et al.Combining entity 能优化和数据挖掘。主持国家自然科 co-occurrence information and sentence semantic fea- 学基金3项，中国博士后科学基金特 tures for relation extraction[].Scientia sinica informa- 别资助等省部级科研项目5项。获教 tionis,,2018,48(11:1533-1545. 育部高等学校科学研究优秀成果二等 [21]MINTZ M,BILLS S,SNOW R,et al.Distant supervi- 奖。获授权发明专利4项，发表学术论文50余篇。 sion for relation extraction without labeled data[Cl//Pro- 高大林，硕士研究生，主要研究方 ceedings of the Joint Conference of the 47th Annual 向为自然语言处理、关系抽取。 Meeting of the ACL and the 4th International Joint Con- ference on Natural Language Processing of the AFNLP. Suntec,Singapore:Association for Computational Lin- guistics,.2009:1003-1011. [22]ZENG D,KANG L,CHEN Y,et al.Distant supervision for relation extraction via piecewise convolutional neural 巩敦卫，教授，博士生导师，博士 networks[C]//Proceedings of the Proceedings of the 2015 江苏省自动化学会常务理事、副秘书 Conference on Empirical Methods in Natural Language 长，主要研究方向为智能优化和软件 Processin.Lisbon,Portugal,2015:1753-1762. 测试。主持国家“973”计划子课题 [23]HENDRICKX I,KIM S N,KOZAREVA Z,et al.Semev- 1项，国家重点研发计划子课题1项， al-2010 task 8:Multi-way classification of semantic rela- 国家自然科学基金6项，省部级科研 tions between pairs of nominals[C]//Proceedings of the 项目8项。获高等学校科学研究优秀 5th International Workshop on Semantic Evaluation. 成果二等奖、江苏省科学技术二等奖。获授权发明专利 Uppsala,Sweden:ACM,2010:33-38. 15项。出版专著8部，发表学术论文100余篇。Shanghai, China: PACLIC, 2015: 73−78. ZELENKO D, AONE C, RICHARDELLA A. Kernel methods for relation extraction[J]. The journal of ma￾chine learning research, 2003, 3: 1083–1106. [17] ZENG Daojian, LIU Kang, LAI Siwei, et al. Relation classification via convolutional deep neural network [C]//Proceedings of COLING 2014, the 25th Internation￾al Conference on Computational Linguistics: Technical Papers. Dublin, Ireland: Dublin City University and Asso￾ciation for Computational Linguistics, 2014: 2335−2344. [18] ZHANG Yuhao, ZHONG V, CHEN Danqi, et al. Posi￾tion-aware attention and supervised data improve slot filling[C]//Proceedings of the 2017 Conference on Empir￾ical Methods in Natural Language Processing. Copenha￾gen, Denmark: Association for Computational Linguist￾ics, 2017: 35−45. [19] 马语丹, 赵义, 金婧, 等. 结合实体共现信息与句子语义 特征的关系抽取方法 [J]. 中国科学: 信息科学, 2018, 48(11): 1533–1545. MA Yudan, ZHAO Yi, JIN Jing, et al. Combining entity co-occurrence information and sentence semantic fea￾tures for relation extraction[J]. Scientia sinica informa￾tionis, 2018, 48(11): 1533–1545. [20] MINTZ M, BILLS S, SNOW R, et al. Distant supervi￾sion for relation extraction without labeled data[C]//Pro￾ceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Con￾ference on Natural Language Processing of the AFNLP. Suntec, Singapore: Association for Computational Lin￾guistics, 2009: 1003−1011. [21] ZENG D, KANG L, CHEN Y, et al. Distant supervision for relation extraction via piecewise convolutional neural networks[C]//Proceedings of the Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processin. Lisbon, Portugal, 2015: 1753−1762. [22] HENDRICKX I, KIM S N, KOZAREVA Z, et al. Semev￾al-2010 task 8: Multi-way classification of semantic rela￾tions between pairs of nominals[C]//Proceedings of the 5th International Workshop on Semantic Evaluation. Uppsala, Sweden: ACM, 2010: 33−38. [23] PENNINGTON J, SOCHER R, MANNING C. GloVe: global vectors for word representation[C]//Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing. Doha, Qatar: Association for Com￾putational Linguistics, 2014: 1532−1543. [24] YU Bowen, ZHANG Zhenyu, LIU Tingwen, et al. Bey￾ond word attention: using segment attention in neural re￾lation extraction[C]//Proceedings of the 28th Internation￾al Joint Conference on Artificial Intelligence. Macao, China: IJCAI, 2019: 33−38. [25] LEE J, SEO S, CHOI Y S. Semantic relation classifica￾tion via bidirectional LSTM networks with entity-aware attention using latent entity typing[J]. Symmetry, 2019, 11(6): 785. [26] 作者简介： 张勇，教授，博士生导师，博士，中 国人工智能学会自然计算与数字智能 城市专委会委员，主要研究方向为智 能优化和数据挖掘。主持国家自然科 学基金 3 项，中国博士后科学基金特 别资助等省部级科研项目 5 项。获教 育部高等学校科学研究优秀成果二等 奖。获授权发明专利 4 项，发表学术论文 50 余篇。 高大林，硕士研究生，主要研究方 向为自然语言处理、关系抽取。 巩敦卫，教授，博士生导师，博士， 江苏省自动化学会常务理事、副秘书 长，主要研究方向为智能优化和软件 测试。主持国家“973”计划子课题 1 项，国家重点研发计划子课题 1 项， 国家自然科学基金 6 项，省部级科研 项目 8 项。获高等学校科学研究优秀 成果二等奖、江苏省科学技术二等奖。获授权发明专利 15 项。出版专著 8 部，发表学术论文 100 余篇。 第 3 期 张勇，等：用于关系抽取的注意力图长短时记忆神经网络 ·527·