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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