{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:21:22Z","timestamp":1750220482491,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T00:00:00Z","timestamp":1632441600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,9,24]]},"DOI":"10.1145\/3488933.3489009","type":"proceedings-article","created":{"date-parts":[[2022,2,25]],"date-time":"2022-02-25T11:36:59Z","timestamp":1645789019000},"page":"669-676","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Text Matching Model that Fuse Position-Encoding with Multiple Attentional Mechanisms"],"prefix":"10.1145","author":[{"given":"Xiaowei","family":"Wang","sequence":"first","affiliation":[{"name":"Xi'an University of Posts and Telecommunications, China"}]},{"given":"Jungang","family":"Han","sequence":"additional","affiliation":[{"name":"Xi'an University of Posts and Telecommunications, China"}]},{"given":"Xiaoying","family":"Pan","sequence":"additional","affiliation":[{"name":"Xi'an University of Posts and Telecommunications, China"}]}],"member":"320","published-online":{"date-parts":[[2022,2,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.02.009"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.08.062"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Tan C Wei F Wang W Multiway Attention Networks for Modeling Sentence Pairs[C]\/\/IJCAI. 2018: 4411-4417.  Tan C Wei F Wang W Multiway Attention Networks for Modeling Sentence Pairs[C]\/\/IJCAI. 2018: 4411-4417.","DOI":"10.24963\/ijcai.2018\/613"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/agronomy11071307"},{"key":"e_1_3_2_1_5_1","volume-title":"A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models[J]. arXiv preprint arXiv:2106.13618","author":"Lesota O","year":"2021","unstructured":"Lesota O , Rekabsaz N , Cohen D , A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models[J]. arXiv preprint arXiv:2106.13618 , 2021 . Lesota O, Rekabsaz N, Cohen D, A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models[J]. arXiv preprint arXiv:2106.13618, 2021."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.11.002"},{"key":"e_1_3_2_1_7_1","volume-title":"Knowledge enhanced hybrid neural network for text matching[C]\/\/Thirty-Second AAAI Conference on Artificial Intelligence","author":"Wu Y","year":"2018","unstructured":"Wu Y , Wu W , Xu C , Knowledge enhanced hybrid neural network for text matching[C]\/\/Thirty-Second AAAI Conference on Artificial Intelligence . 2018 . Wu Y, Wu W, Xu C, Knowledge enhanced hybrid neural network for text matching[C]\/\/Thirty-Second AAAI Conference on Artificial Intelligence. 2018."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Tay Y Luu A T Hui S C. Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains[C]\/\/IJCAI. 2018: 4425-4431.  Tay Y Luu A T Hui S C. Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains[C]\/\/IJCAI. 2018: 4425-4431.","DOI":"10.24963\/ijcai.2018\/615"},{"key":"e_1_3_2_1_9_1","volume-title":"Niu D","author":"Chen H","year":"2018","unstructured":"Chen H , Han F X , Niu D , Mix : Multi-channel information crossing for text matching[C]\/\/Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining. 2018 : 110-119. Chen H, Han F X, Niu D, Mix: Multi-channel information crossing for text matching[C]\/\/Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining. 2018: 110-119."},{"key":"e_1_3_2_1_10_1","volume-title":"Co-stack residual affinity networks with multi-level attention refinement for matching text sequences[J]. arXiv preprint arXiv:1810.02938","author":"Tay Y","year":"2018","unstructured":"Tay Y , Tuan L A , Hui S C . Co-stack residual affinity networks with multi-level attention refinement for matching text sequences[J]. arXiv preprint arXiv:1810.02938 , 2018 . Tay Y, Tuan L A, Hui S C. Co-stack residual affinity networks with multi-level attention refinement for matching text sequences[J]. arXiv preprint arXiv:1810.02938, 2018."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.01.028"},{"key":"e_1_3_2_1_12_1","first-page":"949","article-title":"Multi-level matching networks for text matching[C]\/\/Proceedings of the 42nd International ACM SIGIR Conference on Research and Development","volume":"2019","author":"Xu C","unstructured":"Xu C , Lin Z , Wu S , Multi-level matching networks for text matching[C]\/\/Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. 2019 : 949 - 952 . Xu C, Lin Z, Wu S, Multi-level matching networks for text matching[C]\/\/Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. 2019: 949-952.","journal-title":"Information Retrieval."},{"key":"e_1_3_2_1_13_1","volume-title":"Extractive summarization as text matching[J]. arXiv preprint arXiv:2004.08795","author":"Zhong M","year":"2020","unstructured":"Zhong M , Liu P , Chen Y , Extractive summarization as text matching[J]. arXiv preprint arXiv:2004.08795 , 2020 . Zhong M, Liu P, Chen Y, Extractive summarization as text matching[J]. arXiv preprint arXiv:2004.08795, 2020."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105544"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113384"},{"key":"e_1_3_2_1_16_1","volume-title":"Inducing Alignment Structure with Gated Graph Attention Networks for Sentence Matching[J]. arXiv preprint arXiv:2010.07668","author":"Cui P","year":"2020","unstructured":"Cui P , Hu L , Liu Y. Inducing Alignment Structure with Gated Graph Attention Networks for Sentence Matching[J]. arXiv preprint arXiv:2010.07668 , 2020 . Cui P, Hu L, Liu Y. Inducing Alignment Structure with Gated Graph Attention Networks for Sentence Matching[J]. arXiv preprint arXiv:2010.07668, 2020."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.11.048"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107331"},{"key":"e_1_3_2_1_19_1","volume-title":"Matching text with deep mutual information estimation[J]. arXiv preprint arXiv:2003.11521","author":"Zhou X","year":"2020","unstructured":"Zhou X , Li C , Bu J , Matching text with deep mutual information estimation[J]. arXiv preprint arXiv:2003.11521 , 2020 . Zhou X, Li C, Bu J, Matching text with deep mutual information estimation[J]. arXiv preprint arXiv:2003.11521, 2020."},{"key":"e_1_3_2_1_20_1","volume-title":"Simple and effective text matching with richer alignment features[J]. arXiv preprint arXiv:1908.00300","author":"Yang R","year":"2019","unstructured":"Yang R , Zhang J , Gao X , Simple and effective text matching with richer alignment features[J]. arXiv preprint arXiv:1908.00300 , 2019 . Yang R, Zhang J, Gao X, Simple and effective text matching with richer alignment features[J]. arXiv preprint arXiv:1908.00300, 2019."},{"key":"e_1_3_2_1_21_1","first-page":"5431","article-title":"A Two-stage Interaction and Topic-Aware Text Matching Model[C]\/\/Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics","volume":"2021","author":"Sun X","unstructured":"Sun X , Cui Y , Tang H, TITA : A Two-stage Interaction and Topic-Aware Text Matching Model[C]\/\/Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics : Human Language Technologies. 2021 : 5431 - 5440 . Sun X, Cui Y, Tang H, TITA: A Two-stage Interaction and Topic-Aware Text Matching Model[C]\/\/Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021: 5431-5440.","journal-title":"Human Language Technologies."},{"key":"e_1_3_2_1_22_1","volume-title":"A large annotated corpus for learning natural language inference[J]. arXiv preprint arXiv:1508.05326","author":"Bowman S R","year":"2015","unstructured":"Bowman S R , Angeli G , Potts C , A large annotated corpus for learning natural language inference[J]. arXiv preprint arXiv:1508.05326 , 2015 . Bowman S R, Angeli G, Potts C, A large annotated corpus for learning natural language inference[J]. arXiv preprint arXiv:1508.05326, 2015."},{"key":"e_1_3_2_1_23_1","volume-title":"Bilateral multi-perspective matching for natural language sentences[J]. arXiv preprint arXiv:1702.03814","author":"Wang Z","year":"2017","unstructured":"Wang Z , Hamza W , Florian R. Bilateral multi-perspective matching for natural language sentences[J]. arXiv preprint arXiv:1702.03814 , 2017 . Wang Z, Hamza W, Florian R. Bilateral multi-perspective matching for natural language sentences[J]. arXiv preprint arXiv:1702.03814, 2017."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Yang Y Yih W Meek C. Wikiqa: A challenge dataset for open-domain question answering[C]\/\/Proceedings of the 2015 conference on empirical methods in natural language processing. 2015: 2013-2018.  Yang Y Yih W Meek C. Wikiqa: A challenge dataset for open-domain question answering[C]\/\/Proceedings of the 2015 conference on empirical methods in natural language processing. 2015: 2013-2018.","DOI":"10.18653\/v1\/D15-1237"},{"key":"e_1_3_2_1_25_1","volume-title":"Stochastic answer networks for natural language inference[J]. arXiv preprint arXiv:1804.07888","author":"Liu X","year":"2018","unstructured":"Liu X , Duh K , Gao J. Stochastic answer networks for natural language inference[J]. arXiv preprint arXiv:1804.07888 , 2018 . Liu X, Duh K, Gao J. Stochastic answer networks for natural language inference[J]. arXiv preprint arXiv:1804.07888, 2018."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Shen G Yang Y Deng Z H. Inter-weighted alignment network for sentence pair modeling[C]\/\/Proceedings of the 2017 conference on empirical methods in natural language processing. 2017: 1179-1189.  Shen G Yang Y Deng Z H. Inter-weighted alignment network for sentence pair modeling[C]\/\/Proceedings of the 2017 conference on empirical methods in natural language processing. 2017: 1179-1189.","DOI":"10.18653\/v1\/D17-1122"}],"event":{"name":"AIPR 2021: 2021 4th International Conference on Artificial Intelligence and Pattern Recognition","acronym":"AIPR 2021","location":"Xiamen China"},"container-title":["2021 4th International Conference on Artificial Intelligence and Pattern Recognition"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3488933.3489009","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3488933.3489009","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:49:00Z","timestamp":1750193340000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3488933.3489009"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,24]]},"references-count":26,"alternative-id":["10.1145\/3488933.3489009","10.1145\/3488933"],"URL":"https:\/\/doi.org\/10.1145\/3488933.3489009","relation":{},"subject":[],"published":{"date-parts":[[2021,9,24]]},"assertion":[{"value":"2022-02-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}