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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 101–110 of 1729 papers

TitleStatusHype
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity RecognitionCode1
Earnings-21: A Practical Benchmark for ASR in the WildCode1
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity RecognitionCode1
End-to-End Entity Detection with Proposer and RegressorCode1
A Named Entity Based Approach to Model RecipesCode1
E-NER: Evidential Deep Learning for Trustworthy Named Entity RecognitionCode1
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature TextCode1
Better Feature Integration for Named Entity RecognitionCode1
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERTCode1
An Effective Transition-based Model for Discontinuous NERCode1
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