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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

Showing 251260 of 1729 papers

TitleStatusHype
FGN: Fusion Glyph Network for Chinese Named Entity RecognitionCode1
Rethinking Generalization of Neural Models: A Named Entity Recognition Case StudyCode1
LTP: A New Active Learning Strategy for CRF-Based Named Entity RecognitionCode1
Computationally Efficient NER Taggers with Combined Embeddings and Constrained DecodingCode1
Hierarchically-Refined Label Attention Network for Sequence LabelingCode1
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERTCode1
Chinese NER Using Lattice LSTMCode1
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature TextCode1
Deep Active Learning for Named Entity RecognitionCode1
Fast and Accurate Entity Recognition with Iterated Dilated ConvolutionsCode1
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