Contextualized Word Representations from Distant Supervision with and for NER
Abbas Ghaddar, Phillippe Langlais · 2019
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.