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We present the zero-shot entity linking task, where mentions must be linked to unseen entities without in-domain labeled data.
Using encyclopedic knowledge for named entity disambiguation
Razvan Bunescu and Marius Pasca. 2006 · 2006
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Learning to link with wikipedia
David Milne and Ian H. Witten. 2008 · 2008
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Domain adaptation for large-scale sentiment classification: A deep learning approach
Xavier Glorot, Antoine Bordes, and Yoshua Bengio. 2011 · 2011
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Marginalized denoising autoencoders for domain adaptation
Minmin Chen, Zhixiang Xu, Kilian Weinberger, and Fei Sha. 2012 · 2012
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Linking named entities to any database
Avirup Sil, Ernest Cronin, Penghai Nie, Yinfei Yang, Ana-Maria Popescu, and Alexander Yates. 2012 · 2012
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Wikification and beyond: The challenges of entity and concept grounding
Dan Roth, Heng Ji, Ming-Wei Chang, and Taylor Cassidy. 2014 · 2014
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Design challenges for entity linking
Xiao Ling, Sameer Singh, and Daniel S. Weld. 2015 · 2015
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Language and domain independent entity linking with quantified collective validation
Han Wang, Jin Guang Zheng, Xiaogang Ma, Peter Fox, and Heng Ji. 2015 · 2015
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Unsupervised multi-domain adaptation with feature embeddings
Yi Yang and Jacob Eisenstein. 2015 · 2015
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Deep joint entity disambiguation with local neural attention
Octavian-Eugen Ganea and Thomas Hofmann. 2017 · 2017
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Entity linking via joint encoding of types, descriptions, and context
Nitish Gupta, Sameer Singh, and Dan Roth. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Knowledge-based word sense disambiguation using topic models
Devendra Singh Chaplot and Ruslan Salakhutdinov. 2018 · 2018
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Cross domain regularization for neural ranking models using adversarial learning
Daniel Cohen, Bhaskar Mitra, Katja Hofmann, and W. Bruce Croft. 2018 · 2018
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Natural Language Processing
Jacob Eisenstein. 2018 · 2018
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Improving entity linking by modeling latent relations between mentions
Phong Le and Ivan Titov. 2018 · 2018
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Hierarchical losses and new resources for fine-grained entity typing and linking
Shikhar Murty, Patrick Verga, Luke Vilnis, Irena Radovanovic, and Andrew McCallum. 2018 · 2018
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Deep contextualized word representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Improving language understanding with unsupervised learning
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
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Multi-lingual entity discovery and linking
Avi Sil, Heng Ji, Dan Roth, and Silviu-Petru Cucerzan. 2018 · 2018
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Adversarial multiple source domain adaptation
Han Zhao, Shanghang Zhang, Guanhang Wu, José\par MF Moura, Joao P Costeira, and Geoffrey J Gordon. 2018 · 2018
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Multi-source domain adaptation with mixture of experts
Jiang Guo, Darsh Shah, and Regina Barzilay. 2018 · 2018
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Jointly predicting predicates and arguments in neural semantic role labeling
Luheng He, Kenton Lee, Omer Levy, and Luke Zettlemoyer. 2018 · 2018
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Universal language model fine-tuning for text classification
Jeremy Howard and Sebastian Ruder. 2018 · 2018
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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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