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most citedWord Embeddings for Chemical Patent Natural Language Processing

1 citations · 1 across the 5 of their papers we have counts for

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cs.CL2019

Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings

Zenan Zhai, Dat Quoc Nguyen, Saber A. Akhondi +5

Chemical patents are an important resource for chemical information. However, few chemical Named Entity Recognition (NER) systems have been evaluated on patent documents, due in pa…