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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 1211–1220 of 1729 papers

TitleStatusHype
Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons—0
mgsohrab at WNUT 2020 Shared Task-1: Neural Exhaustive Approach for Entity and Relation Recognition Over Wet Lab ProtocolsCode0
Hierarchical Region Learning for Nested Named Entity Recognition—0
HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction—0
Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER—0
If You Build Your Own NER Scorer, Non-replicable Results Will Come—0
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling—0
RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain—0
Improving Multilingual Models with Language-Clustered Vocabularies—0
Auxiliary Sequence Labeling Tasks for Disfluency Detection—0
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