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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 1361–1370 of 1729 papers

TitleStatusHype
Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph NetworkCode0
Named Entity Recognition - Is There a Glass Ceiling?—0
A Lexicon-Based Graph Neural Network for Chinese NER—0
Reinforcement-based denoising of distantly supervised NER with partial annotation—0
Contextualized Word Representations from Distant Supervision with and for NER—0
A Deep Learning-Based System for PharmaCoNER—0
Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing—0
Similarity Based Auxiliary Classifier for Named Entity RecognitionCode0
A Boundary-aware Neural Model for Nested Named Entity RecognitionCode0
SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding—0
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