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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 1671–1680 of 1729 papers

TitleStatusHype
Def2Vec: Extensible Word Embeddings from Dictionary DefinitionsCode0
To token or not to token: A Comparative Study of Text Representations for Cross-Lingual TransferCode0
PCBERT: Parent and Child BERT for Chinese Few-shot NERCode0
Type-supervised sequence labeling based on the heterogeneous star graph for named entity recognitionCode0
Using Chinese Glyphs for Named Entity RecognitionCode0
Low-Resource Named Entity Recognition Based on Multi-hop Dependency TriggerCode0
Simple Yet Powerful: An Overlooked Architecture for Nested Named Entity RecognitionCode0
Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized RepresentationsCode0
Simplify the Usage of Lexicon in Chinese NERCode0
Why Comparing Single Performance Scores Does Not Allow to Draw Conclusions About Machine Learning ApproachesCode0
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