Computer Science ›› 2019, Vol. 46 ›› Issue (10): 215-221.doi: 10.11896/jsjkx.190400071
• Artificial Intelligence • Previous Articles Next Articles
LUO Da, SU Jin-dian, LI Peng-fei
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[1]SUCHANEK F M,KASNECI G,WEIKUM G.Yago:a core of semantic knowledge[C]//Proceedings of the 16th international conference on World Wide Web.New York,NY:ACM,2007:697-706. [2]BOLLACKER K,EVANS C,PARITOSH P,et al.Freebase:a collaboratively created graph database for structuring human knowledge[C]//Proceedings of the 2008 ACM SIGMOD international conference on Management of data.New York,NY:ACM,2008:1247-1250. [3]LEHMANN J,ISELE R,JAKOB M,et al.DBpedia-a large-scale,multilingual knowledge base extracted from Wikipedia[J].Semantic Web,2015,6(2):167-195. [4]BERANT J,LIANG P.Semantic parsing via paraphrasing[C]//Proceedings of the 52nd Annual Meeting of ACL (Volume 1:Long Papers).Stroudsburg,PA:ACL,2014:1415-1425. [5]REDDY S,LAPATA M,STEEDMAN M.Large-scale semantic parsing without question-answer pairs[J].Transactions of the Association of Computational Linguistics,2014,2(1):377-392. [6]BERANT J,CHOU A,FROSTIG R,et al.Semantic parsing on freebase from question-answer pairs[C]//Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing.2013:1533-1544. [7]BORDES A,CHOPRA S,WESTON J.Question Answering with Subgraph Embeddings[C]//Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing,A meeting of SIGDAT,a Special Interest Group of the ACL.Doha,Qatar,View at Publisher View at Google Scholar,2014:615-620. [8]BORDES A,USUNIER N,CHOPRA S,et al.Large-scale simple question answering with memory networks[J].arXiv:1506.02075,2015. [9]HE X,GOLUB D.Character-Level Question Answering with Attention[C]//Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing.Stroudsburg,PA:ALL,2016:1598-1607. [10]HAKIMOV S,JEBBARA S,CIMIANO P.Evaluating Architectural Choices for Deep Learning Approaches for Question Answering Over Knowledge Bases[C]//ICSC.IEEE,2019:110-113. [11]DAI Z,LI L,XU W.CFO:Conditional Focused Neural Question Answering with Large-scale Knowledge Bases[C]//Procee-dings of the 54th Annual Meeting of the Association for Computational Linguistics.Stroudsburg,PA:ACL,2016:800-810. [12]YIN W,YU M,XIANG B,et al.Simple Question Answering by Attentive Convolutional Neural Network[C]//COLING 2016.New York:ACM,2016:1746-1756. [13]YIH W T,CHANG M W,HE X,et al.Semantic Parsing via Staged Query Graph Generation:Question Answering with Knowledge Base[C]//Meeting of the Association for Computational Linguistics & the International Joint Conference on Natural Language Processing.Stroudsburg,PA:ALL,2015:1321-1331. [14]YANG Y,CHANG M W.S-MART:Novel Tree-based Struc-tured Learning Algorithms Applied to Tweet Entity Linking[C]//ACL 2015.Stroudsburg,PA:ACL,2015:504-513. [15]QU Y,LIU J,KANG L,et al.Question Answering over Freebase via Attentive RNN with Similarity Matrix based CNN[J].arXiv:1804.03317,2018. [16]YU Y,HASAN K S,YU M,et al.Knowledge Base Relation Detection via Multi-View Matching[C]//ADBIS (Short Papers and Workshops).Berlin:Springer,2018:286-294. [17]WANG Z,HAMZA W,FLORIAN R.Bilateral Multi-Perspective Matching for Natural Language Sentences[C]//IJCAI 2017.Cambridge,MA:MIT,2017:4144-4150. [18]ZHANG H,XU G,LIANG X,et al.An Attention-Based Word-Level Interaction Model:Relation Detection for Knowledge Base Question Answering[J].IEEE Access,2018:1-1. [19]BERANT J,CHOU A,FROSTIG R,et al.Semantic parsing on freebase from question-answer pairs[C]//Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing.Stroudsburg,PA:ALL,2013:1533-1544. [20]HAO Y,LIU H,HE S,et al.Pattern-revising Enhanced Simple Question Answering over Knowledge Bases[C]//Proceedings of the 27th International Conference on Computational Linguistics.New York:ACM,2018:3272-3282. [21]YU M,YIN W,HASAN K S,et al.Improved neural relation detection for knowledge base question answering[C]//Proceedings of the 55th Annual Meeting of the Association for ComputationalLinguistics.Stroudsburg,PA:ACL,2017:571-581. |
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