Language model augmented sequence taggers

Year: 2,017
Journal: Annual Meeting of the Association for Computational Linguistics Allen Institute for Artificial Intelligence
Languages: English
Programming languages: Python
Input data:


Output data:

IOB-format (inside-outside-beginning), words as vectors

A general semi-supervised approach for adding pretrained context embeddings from bidirectional language models to NLP systems and apply it to sequence labeling tasks

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