Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization

22 January 2020

Papers citing "Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization"

8 / 8 papers shown

Title
Dynamic Named Entity Recognition Tristan Luiggi Laure Soulier Vincent Guigue Siwar Jendoubi Aurélien Baelde 28 0 0 16 Feb 2023
What do we Really Know about State of the Art NER? Sowmya Vajjala Ramya Balasubramaniam 19 15 0 29 Apr 2022
Extracting Impact Model Narratives from Social Services' Text Bart Gajderowicz Daniela Rosu Mark S. Fox 16 1 0 04 Apr 2022
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction Bruno Taillé Vincent Guigue Geoffrey Scoutheeten Patrick Gallinari 71 5 0 24 Sep 2021
Named Entity Recognition and Classification on Historical Documents: A Survey Maud Ehrmann Ahmed Hamdi Elvys Linhares Pontes Matteo Romanello A. Doucet 55 108 0 23 Sep 2021
Evaluation of contextual embeddings on less-resourced languages Matej Ulvcar Alevs vZagar C. S. Armendariz Andravz Repar Senja Pollak Matthew Purver Marko Robnik-vSikonja 14 11 0 22 Jul 2021
How Do Your Biomedical Named Entity Recognition Models Generalize to Novel Entities? Hyunjae Kim Jaewoo Kang AI4CE 78 21 0 01 Jan 2021
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016