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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

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Showing 1351–1360 of 1729 papers

TitleStatusHype
Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing—0
Reinforcement-based denoising of distantly supervised NER with partial annotation—0
RACAI's System at PharmaCoNER 2019—0
DeepGeneMD: A Joint Deep Learning Model for Extracting Gene Mutation-Disease Knowledge from PubMed Literature—0
Contextualized Word Representations from Distant Supervision with and for NER—0
Transfer Learning in Biomedical Named Entity Recognition: An Evaluation of BERT in the PharmaCoNER task—0
Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning—0
A Neural Pipeline Approach for the PharmaCoNER Shared Task using Contextual Exhaustive Models—0
UCSMNLP: Statistical Machine Translation for WAT 2019—0
A Multi-Task Learning Framework for Extracting Bacteria Biotope Information—0
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