Computer Science ›› 2021, Vol. 48 ›› Issue (6): 196-201.doi: 10.11896/jsjkx.200700100
• Artificial Intelligence • Previous Articles Next Articles
LYU Le-bin, LIU Qun, PENG Lu, DENG Wei-bin , WANG Chong-yu
CLC Number:
[1]HUANG P S,HE X,GAO J,et al.Learning deep structured semantic models for web search using click through data[C]//Proceedings of the 22nd ACM international conference on Conference on in-formation & knowledge management.California:ACM Press,2013:2333-2338. [2]PANG L,LAN Y,GUO J,et al.Text matching as image recognition[C]//Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence.Arizona:AAAI Press,2016:2793-2799. [3]JÄRVELIN K,KEKÄLÄINEN J.Cumulated gain-based evaluation of IR techniques[J].ACM Transactions on Information Systems (TOIS),2002,20(4),422-446. [4] SHEN Y,HE X,GAO J,et al.Learning semantic representations using convolutional neural networks for web search[C]//International Conference on World Wide Web.Seoul:ACM Press,2014:373-374. [5]WAN S,LAN Y,GUO J,et al.A deep architecture for semantic matching with multiple positional sentence representations[C]//Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence.Arizona:AAAI Press,2016:2835-2841. [6]GONG Y,LUO H,ZHANG J.Natural Language Inference over Interaction Space.International Conference on Learning Representations [EB/OL].[2020-7-11].https://arxiv.org/pdf/1709.04348.pdf. [7] HU B,LU Z,LI H,et al.Convolutional Neural Network Architectures for Matching Natural Language Sentences[C]//Advances in Neural Information Processing Systems.Montreal:MIT Press,2015:2042-2050. [8]XIONG C,DAI Z,CALLAN J,et al.End-to-End Neural Ad-hoc Ranking with Kernel Pooling[J].In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval.Tokyo:ACM Press,2017,51(cd):55-64. [9]DAI Z,XIONG C,CALLAN J,et al.Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search[C]//Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining.California:ACM Press,2018:126-134. [10]PENNINGTON J,SOCHER R,MANNING C.Glove:GlobalVectors for Word Representation[C]//Proceedings of the 2014 Conference on Empirical Methods in Natural Language Proces-sing.Doha,Qatar:ACL Press,2014:1532-1543. [11]SEO M,KEMBHAVI A,FARHADI A,et al.Bidirectional Attention Flow for Machine Comprehension.arXiv:Computation and Language [EB/OL].[2020-7-11].https://arxiv.org/pdf/1611.01603.pdf. [12]XIE S,GIRSHICK R,DOLLAR P,et al.Aggregated ResidualTransformations for Deep Neural Networks[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).Hawaii:IEEE Press,2017:5987-5995. [13]YANG Y,YIH W,MEEK C.WikiQA:A Challenge Dataset for Open-Domain Question Answering[C]//In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing.Lisbon,Portugal:ACL Press,2015:2013-2018. [14]BOWMAN S,ANGELI G,POTTS C,et al.A large annotated corpus for learning natural language inference[C]//Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing.Lisbon,Portugal:ACL Press,2015:632-642. [15]NAKOV P,MÁRQUEZ L,MOSCHITTI A,et al.SemEval-2016 Task 3:Community Question Answering.ArXiv:Information Retrieval[EB/OL].[2020-07-11].http://arxiv.org/abs/1912.00730.pdf. [16]FAN Y,PANG L,HOU J,et al.MatchZoo:A Toolkit for Deep Text Matching.ArXiv:Information Retrieval[EB/OL].[2020-07-11].https://arxiv.org/pdf/1707.07270v1.pdf. [17]MITRA B,DIAZ F,CRASWELL N.Learning to match using local and distributed representations of text for web search[C]//Proceedings of the 26th International Conference on World Wide Web.Australia:ACM Press,2017:1291-1299. [18]GUO J,FAN Y,AI Q,et al.A Deep Relevance Matching Mo-del for Ad-hoc Retrieval[C]//Conference on Information and Knowledge Management.Indianapolis:ACM Press,2016:55-64. [19]YANG Z, LAN Q, GUO J,et al.A deeptop-k relevance ma-tching model for ad-hoc retrieval[C]//China Conference on Information Retrieval.Guilin:Springer Press,2018:16-27. |
[1] | LYU Xiao-feng, ZHAO Shu-liang, GAO Heng-da, WU Yong-liang, ZHANG Bao-qi. Short Texts Feautre Enrichment Method Based on Heterogeneous Information Network [J]. Computer Science, 2022, 49(9): 92-100. |
[2] | PAN Zhi-hao, ZENG Bi, LIAO Wen-xiong, WEI Peng-fei, WEN Song. Interactive Attention Graph Convolutional Networks for Aspect-based Sentiment Classification [J]. Computer Science, 2022, 49(3): 294-300. |
[3] | CHEN Zhuo, WANG Guo-yin, LIU Qun. Natural Scene Text Detection Algorithm Combining Multi-granularity Feature Fusion [J]. Computer Science, 2021, 48(12): 243-248. |
[4] | WU Yu, LI Zhou-jun. Survey on Retrieval-based Chatbots [J]. Computer Science, 2021, 48(12): 278-285. |
[5] | XU Fang, DENG Min, XIONG Zeng-gang, YE Cong-huan, XU Ning. Data Forwarding Algorithm Based on Multidimensional Context Matching in Mobile Social Networks [J]. Computer Science, 2019, 46(2): 81-87. |
[6] | . [J]. Computer Science, 2008, 35(12): 167-170. |
|