SOTAVerified

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 851–860 of 1729 papers

TitleStatusHype
Simple yet Powerful: An Overlooked Architecture for Nested Named Entity Recognition—0
DAML: Chinese Named Entity Recognition with a fusion method of data-augmentation and meta-learning—0
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition—0
Cross-domain Named Entity Recognition via Graph Matching—0
Phone-ing it in: Towards Flexible Multi-Modal Language Model Training by Phonetic Representations of Data—0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER—0
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition—0
Are We NER Yet? Measuring the Impact of ASR Errors on Named Entity Recognition in Spontaneous Conversation Transcripts—0
CLGP: Multi-Feature Embedding based Cross-Attention for Chinese NER—0
Clause Attention based on Signal Words Division—0
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