{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:35:16Z","timestamp":1750221316522,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":39,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,11,6]],"date-time":"2017-11-06T00:00:00Z","timestamp":1509926400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Australian Research Council","award":["LP110100050","DP150102405"],"award-info":[{"award-number":["LP110100050","DP150102405"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,11,6]]},"DOI":"10.1145\/3132847.3132984","type":"proceedings-article","created":{"date-parts":[[2017,11,6]],"date-time":"2017-11-06T13:30:29Z","timestamp":1509975029000},"page":"1499-1507","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["A Matrix-Vector Recurrent Unit Model for Capturing Compositional Semantics in Phrase Embeddings"],"prefix":"10.1145","author":[{"given":"Rui","family":"Wang","sequence":"first","affiliation":[{"name":"University of Western Australia, Perth, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Western Australia, Perth, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chris","family":"McDonald","sequence":"additional","affiliation":[{"name":"University of Western Australia, Perth, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,11,6]]},"reference":[{"volume-title":"Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 1183--1193","year":"2010","author":"Baroni Marco","key":"e_1_3_2_1_1_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_2_1","DOI":"10.5555\/944919.944966"},{"volume-title":"Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio.","year":"2014","author":"Cho Kyunghyun","key":"e_1_3_2_1_3_1"},{"volume-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555","year":"2014","author":"Chung Junyoung","key":"e_1_3_2_1_4_1"},{"volume-title":"Gated feedback recurrent neural networks. CoRR, abs\/1502.02367","year":"2015","author":"Chung Junyoung","key":"e_1_3_2_1_5_1"},{"volume-title":"Finding structure in time. Cognitive science","year":"1990","author":"Elman Jeffrey L","key":"e_1_3_2_1_6_1"},{"volume-title":"A structured vector space model for word meaning in context Proceedings of the Conference on Empirical Methods in Natural Language Processing","author":"Erk Katrin","key":"e_1_3_2_1_7_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_8_1","DOI":"10.1007\/s007999900023"},{"key":"e_1_3_2_1_9_1","volume-title":"Wittgenstein Studien","volume":"1","author":"Frege Gottlob","year":"1994"},{"volume-title":"Experimental support for a categorical compositional distributional model of meaning Proceedings of the Conference on Empirical Methods in Natural Language Processing","author":"Grefenstette Edward","key":"e_1_3_2_1_10_1"},{"volume-title":"A regression model of adjective-noun compositionality in distributional semantics Proceedings of the 2010 Workshop on GEometrical Models of Natural Language Semantics","author":"Guevara Emiliano","key":"e_1_3_2_1_11_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_12_1","DOI":"10.1162\/neco.1997.9.8.1735"},{"volume-title":"Recurrent convolutional neural networks for discourse compositionality. arXiv preprint arXiv:1306.3584","year":"2013","author":"Kalchbrenner Nal","key":"e_1_3_2_1_13_1"},{"volume-title":"A convolutional neural network for modelling sentences. arXiv preprint arXiv:1404.2188","year":"2014","author":"Kalchbrenner Nal","key":"e_1_3_2_1_14_1"},{"volume-title":"Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882","year":"2014","author":"Kim Yoon","key":"e_1_3_2_1_15_1"},{"unstructured":"Ryan Kiros Yukun Zhu Ruslan R Salakhutdinov Richard Zemel Raquel Urtasun Antonio Torralba and Sanja Fidler. 2015. Skip-thought vectors Advances in neural information processing systems. 3294--3302.   Ryan Kiros Yukun Zhu Ruslan R Salakhutdinov Richard Zemel Raquel Urtasun Antonio Torralba and Sanja Fidler. 2015. Skip-thought vectors Advances in neural information processing systems. 3294--3302.","key":"e_1_3_2_1_16_1"},{"volume-title":"Neural mechanisms of language comprehension: Challenges to syntax. Brain research","year":"2007","author":"Kuperberg Gina R","key":"e_1_3_2_1_17_1"},{"doi-asserted-by":"crossref","unstructured":"Siwei Lai Liheng Xu Kang Liu and Jun Zhao. 2015. Recurrent Convolutional Neural Networks for Text Classification. AAAI. 2267--2273.   Siwei Lai Liheng Xu Kang Liu and Jun Zhao. 2015. Recurrent Convolutional Neural Networks for Text Classification. AAAI. 2267--2273.","key":"e_1_3_2_1_18_1","DOI":"10.1609\/aaai.v29i1.9513"},{"volume-title":"Distributed representations of sentences and documents Proceedings of the 31st International Conference on Machine Learning (ICML-14). 1188--1196","author":"Le Quoc","key":"e_1_3_2_1_19_1"},{"unstructured":"Shujie Liu Nan Yang Mu Li and Ming Zhou. 2014. A recursive recurrent neural network for statistical machine translation. (2014).  Shujie Liu Nan Yang Mu Li and Ming Zhou. 2014. A recursive recurrent neural network for statistical machine translation. (2014).","key":"e_1_3_2_1_20_1"},{"doi-asserted-by":"crossref","unstructured":"Gr\u00e9goire Mesnil Xiaodong He Li Deng and Yoshua Bengio. 2013. Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding.. In INTERSPEECH. 3771--3775.  Gr\u00e9goire Mesnil Xiaodong He Li Deng and Yoshua Bengio. 2013. Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding.. In INTERSPEECH. 3771--3775.","key":"e_1_3_2_1_21_1","DOI":"10.21437\/Interspeech.2013-596"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_22_1","DOI":"10.21437\/Interspeech.2010-343"},{"unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality Advances in neural information processing systems. 3111--3119.   Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality Advances in neural information processing systems. 3111--3119.","key":"e_1_3_2_1_23_1"},{"unstructured":"Jeff Mitchell and Mirella Lapata. 2008. Vector-based Models of Semantic Composition.. In ACL. 236--244.  Jeff Mitchell and Mirella Lapata. 2008. Vector-based Models of Semantic Composition.. In ACL. 236--244.","key":"e_1_3_2_1_24_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_25_1","DOI":"10.5555\/1699510.1699567"},{"volume-title":"Composition in distributional models of semantics. Cognitive science","year":"2010","author":"Mitchell Jeff","key":"e_1_3_2_1_26_1"},{"key":"e_1_3_2_1_27_1","first-page":"311","article-title":"Lexical semantics and compositionality. An invitation to cognitive science","volume":"1","author":"Partee Barbara","year":"1995","journal-title":"Language"},{"unstructured":"Richard Socher Eric H Huang Jeffrey Pennin Christopher D Manning and Andrew Y Ng. 2011. Dynamic pooling and unfolding recursive autoencoders for paraphrase detection Advances in Neural Information Processing Systems. 801--809.   Richard Socher Eric H Huang Jeffrey Pennin Christopher D Manning and Andrew Y Ng. 2011. Dynamic pooling and unfolding recursive autoencoders for paraphrase detection Advances in Neural Information Processing Systems. 801--809.","key":"e_1_3_2_1_28_1"},{"unstructured":"Richard Socher Brody Huval Christopher D Manning and Andrew Y Ng. 2012. Semantic compositionality through recursive matrix-vector spaces Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning. Association for Computational Linguistics 1201--1211.   Richard Socher Brody Huval Christopher D Manning and Andrew Y Ng. 2012. Semantic compositionality through recursive matrix-vector spaces Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning. Association for Computational Linguistics 1201--1211.","key":"e_1_3_2_1_29_1"},{"volume-title":"Proceedings of the NIPS-2010 Deep Learning and Unsupervised Feature Learning Workshop. 1--9.","year":"2010","author":"Socher Richard","key":"e_1_3_2_1_30_1"},{"volume-title":"Semi-supervised recursive autoencoders for predicting sentiment distributions Proceedings of the conference on empirical methods in natural language processing","author":"Socher Richard","key":"e_1_3_2_1_31_1"},{"unstructured":"Ilya Sutskever Oriol Vinyals and Quoc V Le. 2014. Sequence to sequence learning with neural networks Advances in neural information processing systems. 3104--3112.   Ilya Sutskever Oriol Vinyals and Quoc V Le. 2014. Sequence to sequence learning with neural networks Advances in neural information processing systems. 3104--3112.","key":"e_1_3_2_1_32_1"},{"doi-asserted-by":"crossref","unstructured":"Duyu Tang Bing Qin and Ting Liu. 2015. Document modeling with gated recurrent neural network for sentiment classification Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. 1422--1432.  Duyu Tang Bing Qin and Ting Liu. 2015. Document modeling with gated recurrent neural network for sentiment classification Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. 1422--1432.","key":"e_1_3_2_1_33_1","DOI":"10.18653\/v1\/D15-1167"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_34_1","DOI":"10.5555\/2387933.2387945"},{"unstructured":"Kaisheng Yao Geoffrey Zweig Mei-Yuh Hwang Yangyang Shi and Dong Yu. 2013. Recurrent neural networks for language understanding. INTERSPEECH. 2524--2528.  Kaisheng Yao Geoffrey Zweig Mei-Yuh Hwang Yangyang Shi and Dong Yu. 2013. Recurrent neural networks for language understanding. INTERSPEECH. 2524--2528.","key":"e_1_3_2_1_35_1"},{"volume-title":"Compositional matrix-space models for sentiment analysis Proceedings of the Conference on Empirical Methods in Natural Language Processing","author":"Yessenalina Ainur","key":"e_1_3_2_1_36_1"},{"volume-title":"An Exploration of Embeddings for Generalized Phrases. ACL (Student Research Workshop). 41--47","year":"2014","author":"Yin Wenpeng","key":"e_1_3_2_1_37_1"},{"volume-title":"Discriminative phrase embedding for paraphrase identification. arXiv preprint arXiv:1604.00503","year":"2016","author":"Yin Wenpeng","key":"e_1_3_2_1_38_1"},{"volume-title":"Estimating linear models for compositional distributional semantics Proceedings of the 23rd International Conference on Computational Linguistics","author":"Zanzotto Fabio Massimo","key":"e_1_3_2_1_39_1"}],"event":{"sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"acronym":"CIKM '17","name":"CIKM '17: ACM Conference on Information and Knowledge Management","location":"Singapore Singapore"},"container-title":["Proceedings of the 2017 ACM on Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3132847.3132984","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3132847.3132984","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:13:46Z","timestamp":1750212826000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3132847.3132984"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11,6]]},"references-count":39,"alternative-id":["10.1145\/3132847.3132984","10.1145\/3132847"],"URL":"https:\/\/doi.org\/10.1145\/3132847.3132984","relation":{},"subject":[],"published":{"date-parts":[[2017,11,6]]},"assertion":[{"value":"2017-11-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}