Contextualized Word Representations from Distant Supervision with and for NER
| Titre | Contextualized Word Representations from Distant Supervision with and for NER | 
| Type de publication | Conference Paper | 
| Année de publication | 2019 | 
| Auteurs | Ghaddar, A., and P. Langlais | 
| Nom de la conférence | Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019) | 
| Éditeur | Association for Computational Linguistics | 
| Endroit d'édition | Hong Kong, China | 
| Résumé | We describe a special type of deep contextualized word representation that is learned from distant supervision annotations and dedicated to named entity recognition. Our extensive experiments on 7 datasets show systematic gains across all domains over strong baselines, and demonstrate that our representation is complementary to previously proposed embeddings. We report new state-of-the-art results on CONLL and ONTONOTES datasets. | 
| URL | https://www.aclweb.org/anthology/D19-5513 | 
| DOI | 10.18653/v1/D19-5513 | 
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