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Previous work has shown promising results in performing entity linking by measuring not only the affinities between mentions and entities but also those amongst mentions.
Medmentions: A large biomedical corpus annotated with umls concepts
Sunil Mohan and Donghui Li. 2019 · 1902
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Entity-based cross-document coreferencing using the vector space model
Amit Bagga and Breck Baldwin. 1998 · 1998
Earlier work this paper cites.
Cross-document coreference on a large scale corpus
Chung Heong Gooi and James Allan. 2004 · 2004
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Support vector machine learning for interdependent and structured output spaces
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, and Yasemin Altun. 2004 · 2004
Earlier work this paper cites.
Large-scale named entity disambiguation based on Wikipedia data
Silviu Cucerzan. 2007 · 2007
Earlier work this paper cites.
Learning to link with wikipedia
David Milne and Ian H Witten. 2008 · 2008
Earlier work this paper cites.
Streamlining cross-document coreference resolution: Evaluation and modeling
Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, and Ido Dagan. 2020 · 2009
Earlier work this paper cites.
Overview of the tac 2009 knowledge base population track
Paul McNamee and Hoa Trang Dang. 2009 · 2009
Earlier work this paper cites.
Robust disambiguation of named entities in text
Johannes Hoffart, Mohamed Amir Yosef, Ilaria Bordino, Hagen Fürstenau, Manfred Pinkal, Marc Spaniol, Bilyana Taneva, Stefan Thater, and Gerhard Weikum. 2011 · 2011
Earlier work this paper cites.
Naıve but effective nil clustering baselines–cmcrc at tac 2011
Will Radford, Ben Hachey, Matthew Honnibal, Joel Nothman, and James R Curran. 2011 · 2011
Earlier work this paper cites.
Large-scale cross-document coreference using distributed inference and hierarchical models
Sameer Singh, Amarnag Subramanya, Fernando Pereira, and Andrew McCallum. 2011 · 2011
Earlier work this paper cites.
Relational inference for wikification
Xiao Cheng and Dan Roth. 2013 · 2013
Earlier work this paper cites.
Facc1: Freebase annotation of clueweb corpora, version 1 (release date 2013-06-26, format version 1, correction level 0)
Evgeniy Gabrilovich, Michael Ringgaard, and Amarnag Subramanya. 2013 · 2013
Earlier work this paper cites.
Robust entity clustering via phylogenetic inference
Nicholas Andrews, Jason Eisner, and Mark Dredze. 2014 · 2014
Earlier work this paper cites.
C3EL: A joint model for cross-document co-reference resolution and entity linking
Sourav Dutta and Gerhard Weikum. 2015a · 2015
Earlier work this paper cites.
C3el: A joint model for cross-document co-reference resolution and entity linking
Sourav Dutta and Gerhard Weikum. 2015b · 2015
Earlier work this paper cites.
Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean. 2015 · 2015
Earlier work this paper cites.
Plato: A selective context model for entity resolution
Nevena Lazic, Amarnag Subramanya, Michael Ringgaard, and Fernando Pereira. 2015 · 2015
Cited alongside, same era.
Design challenges for entity linking
Xiao Ling, Sameer Singh, and Daniel S. Weld. 2015 · 2015
Cited alongside, same era.
Personalized page rank for named entity disambiguation
Maria Pershina, Yifan He, and Ralph Grishman. 2015 · 2015
Cited alongside, same era.
Taggerone: joint named entity recognition and normalization with semi-markov models
Robert Leaman and Zhiyong Lu. 2016 · 2016
Cited alongside, same era.
Deep joint entity disambiguation with local neural attention
Octavian-Eugen Ganea and Thomas Hofmann. 2017 · 2017
Cited alongside, same era.
Entity linking via joint encoding of types, descriptions, and context
Nitish Gupta, Sameer Singh, and Dan Roth. 2017 · 2017
Cited alongside, same era.
Learning dense representations for entity retrieval
Dan Gillick, Sayali Kulkarni, Larry Lansing, Alessandro Presta, Jason Baldridge, Eugene Ie, and Diego Garcia-Olano. 2019 · 2019
Later among the works it cites.
Poly-encoders: Architectures and pre-training strategies for fast and accurate multi-sentence scoring
Samuel Humeau, Kurt Shuster, Marie-Anne Lachaux, and Jason Weston. 2019 · 2019
Later among the works it cites.
Zero-shot entity linking by reading entity descriptions
Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, and Honglak Lee. 2019 · 2019
Later among the works it cites.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019 · 2019
Later among the works it cites.
Supervised hierarchical clustering with exponential linkage
Nishant Yadav, Ari Kobren, Nicholas Monath, and Andrew Mccallum. 2019 · 2019
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Billion-scale similarity search with gpus
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2017 · 2017
Cited alongside, same era.
List-only entity linking
Ying Lin, Chin-Yew Lin, and Heng Ji. 2017 · 2017
Cited alongside, same era.
End-to-end neural entity linking
Nikolaos Kolitsas, Octavian-Eugen Ganea, and Thomas Hofmann. 2018 · 2018
Cited alongside, same era.
Improving entity linking by modeling latent relations between mentions
Phong Le and Ivan Titov. 2018 · 2018
Cited alongside, same era.
Learning continuous hierarchies in the lorentz model of hyperbolic geometry
Maximillian Nickel and Douwe Kiela. 2018 · 2018
Cited alongside, same era.
Deeptype: multilingual entity linking by neural type system evolution
Jonathan Raiman and Olivier Raiman. 2018 · 2018
Cited alongside, same era.
Later among the works it cites.
Poly-encoders: Architectures and pre-training strategies for fast and accurate multi-sentence scoring
Samuel Humeau, Kurt Shuster, Marie-Anne Lachaux, and Jason Weston. 2020 · 2020
Later among the works it cites.
Biomedical entity representations with synonym marginalization
Mujeen Sung, Hwisang Jeon, Jinhyuk Lee, and Jaewoo Kang. 2020 · 2020
Later among the works it cites.
Zero-shot entity linking with dense entity retrieval
Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, and Luke Zettlemoyer. 2020 · 2020
Later among the works it cites.
Clustering-based inference for biomedical entity linking
Rico Angell, Nicholas Monath, Sunil Mohan, Nishant Yadav, and Andrew McCallum. 2021 · 2021
Closest in time.
Cross-document language modeling
Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E Peters, Arie Cattan, and Ido Dagan. 2021 · 2021
Closest in time.
Autoregressive entity retrieval
Nicola De Cao, Gautier Izacard, Sebastian Riedel, and Fabio Petroni. 2021 · 2021
Closest in time.
Scico: Hierarchical cross-document coreference for scientific concepts
Arie Cattan, Sophie Johnson, Daniel Weld, Ido Dagan, Iz Beltagy, Doug Downey, and Tom Hope. 2021 · 2021
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Distilling knowledge from reader to retriever for question answering
Gautier Izacard and Edouard Grave. 2021 · 2021
Closest in time.
Cd2cr: Co-reference resolution across documents and domains
James Ravenscroft, Arie Cattan, Amanda Clare, Ido Dagan, and Maria Liakata. 2021 · 2021
Closest in time.
Towards consistent document-level entity linking: Joint models for entity linking and coreference resolution
Y Jiang, Klim Zaporojets, Johannes Deleu, Thomas Demeester, and Chris Develder. 2022 · 2022
Closest in time.
On efficient low distortion ultrametric embedding
Vincent Cohen-Addad, Karthik C. S., and Guillaume Lagarde. 2020 · 2088
Closest in time.