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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
Transfer Learning in Biomedical Named Entity Recognition: An Evaluation of BERT in the PharmaCoNER task—0
Improved Differentiable Architecture Search for Language Modeling and Named Entity RecognitionCode0
Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning—0
UCSMNLP: Statistical Machine Translation for WAT 2019—0
BIOfid Dataset: Publishing a German Gold Standard for Named Entity Recognition in Historical Biodiversity Literature—0
A Neural Pipeline Approach for the PharmaCoNER Shared Task using Contextual Exhaustive Models—0
Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition—0
A Multi-Task Learning Framework for Extracting Bacteria Biotope Information—0
UZH@CRAFT-ST: a Sequence-labeling Approach to Concept Recognition—0
RACAI's System at PharmaCoNER 2019—0
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