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This paper explores learning rich self-supervised entity representations from large amounts of the associated text.
ERNIE: enhanced representation through knowledge integration
Yu Sun, Shuohuan Wang, Yukun Li, Shikun Feng, Xuyi Chen, Han Zhang, Xin Tian, Danxiang Zhu, Hao Tian, and Hua Wu. 2019 · 1904
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Movielens unplugged: experiences with an occasionally connected recommender system
Bradley N Miller, Istvan Albert, Shyong K Lam, Joseph A Konstan, and John Riedl. 2003 · 2003
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Improving web search ranking by incorporating user behavior information
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The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA . The Association for Computer Linguistics
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Learning word vectors for sentiment analysis
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts. 2011 · 2011
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Attribute selection-based recommendation framework for short-head user group: An empirical study by movielens and imdb
Jason J Jung. 2012 · 2012
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Relational inference for wikification
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Zhengyan He, Shujie Liu, Mu Li, Ming Zhou, Longkai Zhang, and Houfeng Wang. 2013 · 2013
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Learning deep structured semantic models for web search using clickthrough data
Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero, and Larry Heck. 2013 · 2013
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Modeling mention, context and entity with neural networks for entity disambiguation
Yaming Sun, Lei Lin, Duyu Tang, Nan Yang, Zhenzhou Ji, and Xiaolong Wang. 2015 · 2015
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Qiang Yang and Michael J. Wooldridge, editors. 2015 · 2015
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Semi-supervised aspect based sentiment analysis for movies using review filtering
Deepa Anand and Deepan Naorem. 2016 · 2016
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Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11 - 15, 2016 . ACM
Jacqueline Bourdeau, Jim Hendler, Roger Nkambou, Ian Horrocks, and Ben Y. Zhao, editors. 2016 · 2016
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The movielens datasets: History and context
F. Maxwell Harper and Joseph A. Konstan. 2016 · 2016
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Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers) . Association for Computational Linguistics
Jill Burstein, Christy Doran, and Thamar Solorio, editors. 2019 · 2019
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Enteval: A holistic evaluation benchmark for entity representations
Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, and Kevin Gimpel. 2019 · 2019
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Boolq: Exploring the surprising difficulty of natural yes/no questions
Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, and Kristina Toutanova. 2019 · 2019
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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Learning dense representations for entity retrieval
Daniel Gillick, Sayali Kulkarni, Larry Lansing, Alessandro Presta, Jason Baldridge, Eugene Ie, and Diego García-Olano. 2019 · 2019
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Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA
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Knowledge enhanced contextual word representations
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Zero-shot entity linking with dense entity retrieval
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Pre-training tasks for embedding-based large-scale retrieval
Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, and Sanjiv Kumar. 2020 · 2020
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Entities as experts: Sparse memory access with entity supervision
Thibault Févry, Livio Baldini Soares, Nicholas FitzGerald, Eunsol Choi, and Tom Kwiatkowski. 2020 · 2020
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