Entity Linking

March 21, 2023 - 2 minute read - Category: Intro - Tags: Deep learning


This post covers the thirteenth lecture in the course: “Named Entity Recognition and Entity Disambiguation.”

Recognizing named entities in text and either associating them with a knowledgebase (entity disambiguation) or clustering mentions of the same entity (entity coreference resolution) has a variety of downstream application

Lecture Video

Named Entity Recognition

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Entity Disambiguation

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References Cited in Lecture 11: Semantic and Syntactic Similarity

Wu, Ledell, Fabio Petroni, Martin Josifoski, Sebastian Riedel, and Luke Zettlemoyer. “Scalable zero-shot entity linking with dense entity retrieval.” arXiv preprint arXiv:1911.03814 (2019).

Yamada, Ikuya, Koki Washio, Hiroyuki Shindo, and Yuji Matsumoto. “Global entity disambiguation with BERT.” In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 3264-3271. 2022.

De Cao, Nicola, Gautier Izacard, Sebastian Riedel, and Fabio Petroni. “Autoregressive entity retrieval.” arXiv preprint arXiv:2010.00904 (2020).

Kassner, Nora, Fabio Petroni, Mikhail Plekhanov, Sebastian Riedel, and Nicola Cancedda. “EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing.” arXiv preprint arXiv:2205.12570 (2022).

Zhang, Wenzheng, Wenyue Hua, and Karl Stratos. “EntQA: Entity linking as question answering.” arXiv preprint arXiv:2110.02369 (2021).

Hsu, Benjamin, and Graham Horwood. “Contrastive Representation Learning for Cross- Document Coreference Resolution of Events and Entities.” arXiv preprint arXiv:2205.11438 (2022).

Logan IV, Robert L., Andrew McCallum, Sameer Singh, and Dan Bikel. “Benchmarking scalable methods for streaming cross document entity coreference.” In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pp. 4717-4731. 2021.

Spitkovsky, Valentin I., and Angel X. Chang. “A cross-lingual dictionary for english wikipedia concepts.” In Proceedings of the Eighth International Conference on Language Resources and Evaluation, pp. 3168–3175. (2012).

Stoffalette João, Renato. “On the Temporality of Priors in Entity Linking.” In European Conference on Information Retrieval, pp. 375-382. Springer, Cham, 2020.

Adjali, Omar, Romaric Besançon, Olivier Ferret, Hervé Le Borgne, and Brigitte Grau. “Multimodal entity linking for tweets.” In European Conference on Information Retrieval, pp. 463-478. Springer, Cham, 2020.

Mishra, Shubhanshu, Aman Saini, Raheleh Makki, Sneha Mehta, Aria Haghighi, and Ali Mollahosseini. “TweetNERD–End to End Entity Linking Benchmark for Tweets.” arXiv preprint arXiv:2210.08129 (2022).

Binette, Olivier, and Rebecca C. Steorts. “(Almost) all of entity resolution.” Science Advances 8, no. 12 (2022): eabi8021.

Image Source: Spaniol, Marc. (2014). A Framework for Temporal Web Analytics.