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Entity retrieval--retrieving information about entity mentions in a query--is a key step in open-domain tasks, such as question answering or fact checking.
Average R-Precision , pages 195–195
Steven M. Beitzel, Eric C. Jensen, and Ophir Frieder · 2009
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Fine-grained entity recognition
Xiao Ling and Daniel S. Weld · 2012
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Barlas Oğuz, Xilun Chen, Vladimir Karpukhin, Stanislav Peshterliev, Dmytro Okhonko, M. Schlichtkrull, Sonal Gupta, Yashar Mehdad, and Scott Yih · 2012
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Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, and Oksana Yakhnenko · 2013
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Context-dependent fine-grained entity type tagging
Daniel Gillick, Nevena Lazic, Kuzman Ganchev, Jesse Kirchner, and David Huynh · 2014
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Design challenges for entity linking
Xiao Ling, Sameer Singh, and Daniel S. Weld · 2015
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Evaluation methods for unsupervised word embeddings
Tobias Schnabel, Igor Labutov, David Mimno, and Thorsten Joachims · 2015
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Complex embeddings for simple link prediction
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard · 2016
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Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Z. Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason R. Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Gregory S. Corrado, Macduff Hughes, and Jeffrey Dean · 2016
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Deep joint entity disambiguation with local neural attention
Octavian-Eugen Ganea and Thomas Hofmann · 2017
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On type-aware entity retrieval
Darío Garigliotti and Krisztian Balog · 2017
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Entity linking via joint encoding of types, descriptions, and context
Nitish Gupta, Sameer Singh, and Dan Roth · 2017
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TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension
Mandar Joshi, Eunsol Choi, Daniel Weld, and Luke Zettlemoyer · 2017
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Zero-shot relation extraction via reading comprehension
Omer Levy, Minjoon Seo, Eunsol Choi, and Luke Zettlemoyer · 2017
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Neural architectures for fine-grained entity type classification
Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, and Sebastian Riedel · 2017
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T-REx: A large scale alignment of natural language with knowledge base triples
Hady Elsahar, Pavlos Vougiouklis, Arslen Remaci, Christophe Gravier, Jonathon Hare, Frederique Laforest, and Elena Simperl · 2018
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FEVER: a large-scale dataset for fact extraction and VERification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal · 2018
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Representation learning with contrastive predictive coding
Aäron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
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HotpotQA: A dataset for diverse, explainable multi-hop question answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William Cohen, Ruslan Salakhutdinov, and Christopher D. Manning · 2018
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FLAIR: An easy-to-use framework for state-of-the-art NLP
Alan Akbik, Tanja Bergmann, Duncan Blythe, Kashif Rasul, Stefan Schweter, and Roland Vollgraf · 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
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Wizard of wikipedia: Knowledge-powered conversational agents
Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli, and Jason Weston · 2019
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Colbert: Efficient and effective passage search via contextualized late interaction over BERT
Omar Khattab and Matei Zaharia · 2020
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Supervised contrastive learning
Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, and Dilip Krishnan · 2020
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Using type information to improve entity coreference resolution
Sopan Khosla and Carolyn Rose · 2020
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Efficient one-pass end-to-end entity linking for questions
Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, and Wen-tau Yih · 2020
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Fine-grained entity typing for domain independent entity linking
Yasumasa Onoe and Greg Durrett · 2020
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Scalable zero-shot entity linking with dense entity retrieval
Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, and Luke Zettlemoyer · 2020
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ELI5: Long form question answering
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Learning dense representations for entity retrieval
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Natural questions: A benchmark for question answering research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M. Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov · 2019
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Decoupled weight decay regularization
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ERNIE: Enhanced language representation with informative entities
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Entity Linking in 100 Languages
Jan A. Botha, Zifei Shan, and Daniel Gillick · 2020
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Autoregressive entity retrieval
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Evaluating entity disambiguation and the role of popularity in retrieval-based NLP
Anthony Chen, Pallavi Gudipati, Shayne Longpre, Xiao Ling, and Sameer Singh · 2021
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Injecting entity types into entity-guided text generation
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User-friendly comparison of similarity algorithms on wikidata
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Bootleg: Chasing the tail with self-supervised named entity disambiguation
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