Empirical Evaluation of Pretraining Strategies for Supervised Entity
Linking

Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking

28 May 2020

Thibault Févry

Nicholas FitzGerald

Livio Baldini Soares

Tom Kwiatkowski

Papers citing "Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking"

7 / 7 papers shown

Title
Effective Few-Shot Named Entity Linking by Meta-Learning Xiuxing Li Zhenyu Li Zhengyan Zhang Ning Liu Haitao Yuan Wei Zhang Zhiyuan Liu Jianyong Wang OffRL 28 10 0 12 Jul 2022
Highly Parallel Autoregressive Entity Linking with Discriminative Correction Nicola De Cao Wilker Aziz Ivan Titov 31 35 0 08 Sep 2021
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation Laurel J. Orr Megan Leszczynski Simran Arora Sen Wu Neel Guha Xiao Ling Christopher Ré 134 48 0 20 Oct 2020
Efficient One-Pass End-to-End Entity Linking for Questions Belinda Z. Li Sewon Min Srini Iyer Yashar Mehdad Wen-tau Yih 23 141 0 06 Oct 2020
Knowledge Enhanced Contextual Word Representations Matthew E. Peters Mark Neumann IV RobertL.Logan Roy Schwartz Vidur Joshi Sameer Singh Noah A. Smith 228 656 0 09 Sep 2019
DeepType: Multilingual Entity Linking by Neural Type System Evolution Jonathan Raiman O. Raiman BDL HAI 120 183 0 03 Feb 2018
Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation Ikuya Yamada Hiroyuki Shindo Hideaki Takeda Yoshiyasu Takefuji 114 317 0 06 Jan 2016