Computer and Modernization ›› 2020, Vol. 0 ›› Issue (01): 10-.doi: 10.3969/j.issn.1006-2475.2020.01.003
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Received:
2019-03-15
Online:
2020-02-13
Published:
2020-02-13
CLC Number:
XIANG Wei. Reviews on Event Knowledge Graph Construction Techniques and Application[J]. Computer and Modernization, 2020, 0(01): 10-.
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URL: http://www.c-a-m.org.cn/EN/10.3969/j.issn.1006-2475.2020.01.003
[1]BERNERS-LEE T, HENDLER J, LASSILA O. The semantic Web[J]. Scientific American, 2001,284(5):28-37. [2] DODDINGTON G R, MITCHELL A, PRZYBOCKI M A, et al. The Automatic Content Extraction (ACE) program tasks, data, and evaluation[C]// Proceedings of the 4th International Conference on Language Resource and Evaluation. 2004,2:1. [3] 赵军,刘康,何世柱,等. 知识图谱[M]. 北京:高等教育出版社, 2018:2-10. [4] KLYNE G, CARROLL J J, MCBRIDE B. Resource Description Framework(RDF): Concepts and Abstract Syntax[S]. World Wide Web Consortium(W3C) Recommendation.2004. [5] BOLLACKER K, EVANS C, PARITOSH P, et al. Freebase: A collaboratively created graph database for structuring human knowledge[C]// Proceedings of 2008 ACM SIGMOD International Conference on Management of Data. 2008:1247-1250. [6] BIZER C, LEHMANN J, KOBILAROV G, et al. DBpedia: A crystallization point for the Web of data[J]. Web Semantics: Science, Services and Agents on the World Wide Web, 2009,7(3):154-165. [7] AUER S, BIZER C, KOBILAROV G, et al. DBpedia: A nucleus for a Web of open data[M]// The Semantic Web. Springer, Berlin, Heidelberg, 2007:722-735. [8] SUCHANEK F M, KASNECI G, WEIKUM G. Yago: A core of semantic knowledge[C]// Proceedings of the 16th ACM International Conference on World Wide Web. 2007:697-706. [9] SUCHANEK F M, KASNECT G, WEIKUM G. Yago: A large ontology from Wikipedia and WordNet[J]. Web Semantics: Science, Services and Agents on the World Wide Web, 2008,6(3):203-217. [10]CARLSON A, BETTERIDGE J, KISIEL B, et al. Toward an architecture for never-ending language learning[C]// The 24th AAAI Conference on Artificial Intelligence. 2010:1360-1314. [11]NIU X, SUN X, WANG H, et al. Zhishi.me-weaving Chinese linking open data[C]// International Semantic Web Conference. 2011:205-220. [12]ROSPOCHER M, VAN ERP M, VOSSEN P, et al. Building event-centric knowledge graphs from news[J]. Journal of Web Semantics, 2016,37:132-151. [13]GOTTSCHALK S, DEMIDOVA E. EventKG: A multilingual event-centric temporal knowledge graph[C]// European Semantic Web Conference. 2018:272-287. [14]HERNES M, BYTNIEWSKI A. Knowledge representation of cognitive agents processing the economy events[C]// Asian Conference on Intelligent Information and Database Systems. 2018:392-401. [15]LI Z, DING X, LIU T. Constructing narrative event evolutionary graph for script event extraction[C]// Proceedings of the 27th International Joint Conference on Artificial Intelligence. 2018:4201-4207. [16]HAN Y J, PARK S Y, PARK S B, et al. Reconstruction of people information based on a event ontology[C]// 2007 IEEE International Conference on Natural Language Processing and Knowledge Engineering. 2007:446-451. [17]JEONG S, KIM H G. SEDE: An ontology for scholarly event description[J]. Journal of Information Science, 2010,36(2):209-227. [18]TEYMOURIAN K, PASCHKE A. Towards semantic event processing[C]// Proceedings of the 3rd ACM International 〖JP4〗Conference on Distributed Event-based Systems. 2009,29:1-2. [19]SILVER G A, MILLER J A, HYBINETTE M, et al. An ontology for discrete-event modeling and simulation[J]. Simulation, 2011,87(9):747-773. [20]VAN HAGE W R, MALAISE V, SEGERS R, et al. Design and use of the Simple Event Model (SEM)[J]. Web Semantics: Science, Services and Agents on the World Wide Web, 2011,9(2):128-136. [21]DO Q X, LU W, ROTH D. Joint inference for event timeline construction[C]// Proceedings of 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning. 2012:677-687. [22]AHN D. The stages of event extraction[C]// Proceedings of the Workshop on Annotating and Reasoning about Time and Events. 2006:1-8. [23]RILOFF E. Automatically constructing a dictionary for information extraction tasks[C]// Proceedings of the 11th National on Artificial Intelligence. 1993:811-816. [24]KIM J T, MOLDOVAN D I. Acquisition of linguistic patterns for knowledge-based information extraction[J]. IEEE Transactions on Knowledge and Data Engineering, 1995,7(5):713-724. [25]RILOFF E, SHOEN J. Automatically acquiring conceptual patterns without an annotated corpus[C]// Proceedings of the 3rd Workshop on Very Large Corpora. 1995:148-161. [26]姜吉发. 一种事件信息抽取模式获取方法[J]. 计算机工程, 2005,31(15):96-98. [27]HAI L C, NG H T. A maximum entropy approach to information extraction from semi-structured and free text[C]// Proceedings of the 18th National Conference on Artificial Intelligence. 2002:786-791. [28]LIU S, LIU K, HE S, et al. A probabilistic soft logic based approach to exploiting latent and global information in event classification[C]// The 30th AAAI Conference on Artificial Intelligence. 2016:2993-3000. [29]MCCLOSKY D, SURDEANU M, MANNING C D. Event extraction as dependency parsing[C]// Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies. 2011,1:1626-1635. [30]LI P, ZHU Q, ZHOU G. Joint modeling of argument identification and role determination in Chinese event extraction with discourse-level information[C]// The 23rd International Joint Conference on Artificial Intelligence. 2013:2120-2126. [31]LI Q, JI H, YU H, et al. Constructing information networks using one single model[C]// Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2014:1846-1851. [32]MIKOLOV T, CHEN K, CORRADO G, et al. Efficient estimation of word representations in vector space[C]// The 1st International Conference on Learning Representations.2013. [33]CHEN Y, XU L, LIU K, et al. Event extraction via dynamic multi-pooling convolutional neural networks[C]// Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing. 2015,1:167-176. [34]FENG X C, QIN B, LIU T. A language-independent neural network for event detection[J]. Science China:Information Sciences, 2018,61(9):81-92. [35]NGUYEN T H, CHO K, GRISHMAN R. Joint event extraction via recurrent neural networks[C]// Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2016:300-309. [36]CHOUBEY P K, HUANG R H. Event co-reference resolution by iteratively unfolding inter-dependencies among events[C]// Proceedings of 2017 International Conference on Empirical Methods in Natural Language Processing. 2017:2124-2133. [37]PENG H, SONG Y, ROTH D. Event detection and co-reference with minimal supervision[C]// Proceedings of 2016 Conference on Empirical Methods in Natural Language Processing. 2016:392-402. [38]〖JP2〗LU J, NG V. Joint learning for event co-reference resolution[C]// Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics. 2017,1:90-101. [39]杨雪蓉,洪宇,马彬,等. 基于核心词和实体推理的事件关系识别方法[J]. 中文信息学报, 2014,28(2):100-108. [40]HU L, LI J, LI X, et al. TSDPMM: Incorporating prior topic knowledge into Dirichlet process mixture models for text clustering[C]// Proceedings of 2015 Conference on Empirical Methods in Natural Language Processing. 2015:787-792. [41]HU L, WANG X, ZHANG M, et al. Learning topic hierarchies for Wikipedia categories[C]// Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing. 2015, 2:346-351. [42]HU L M, LI J Z, NIE L Q, et al. What happens next? Future subevent prediction using contextual hierarchical LSTM[C]// The 31st AAAI Conference on Artificial Intelligence. 2017:3450-3457. [43]NG J P, KAN M Y, LIN Z, et al. Exploiting discourse analysis for article-wide temporal classification[C]// Proceedings of 2013 Conference on Empirical Methods in Natural Language Processing. 2013:12-23. [44]GE T, PEI W, JI H, et al. Bring you to the past: Automatic generation of topically relevant event chronicles[C]// Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing. 2015,1:575-585. [45]杨竣辉,刘宗田,刘炜,等. 基于语义事件因果关系识别[J]. 小型微型计算机系统, 2016,37(3):433-437. [46]付剑锋,刘宗田,刘炜,等. 基于层叠条件随机场的事件因果关系抽取[J]. 模式识别与人工智能, 2011,24(4):567-573. [47]SORGENTE A, VETTIGLI G, MELE F. Automatic extraction of cause-effect relations in natural language text[C]// Proceedings of the 13th Conference of the Italian Association for Artificial Intelligence. 2013:37-48. |
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