@conference {1579,
	title = {Contextualized Word Representations from Distant Supervision with and for NER},
	booktitle = {Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)},
	year = {2019},
	publisher = {Association for Computational Linguistics},
	organization = {Association for Computational Linguistics},
	address = {Hong Kong, China},
	abstract = {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.},
	doi = {10.18653/v1/D19-5513},
	url = {https://www.aclweb.org/anthology/D19-5513},
	pdf = {http://rali.iro.umontreal.ca/rali/sites/default/files/publis/D19-5513\%5B1\%5D.pdf},
	author = {Ghaddar, Abbas and Langlais, Phillippe}
}
