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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 961–970 of 1729 papers

TitleStatusHype
A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis—0
Clause Attention based on Signal Words Division—0
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing—0
CLGP: Multi-Feature Embedding based Cross-Attention for Chinese NER—0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER—0
Chinese Word Attention based on Valid Division of Sentence—0
Packed Levitated Marker for Entity and Relation Extraction—0
Rethinking Negative Sampling for Handling Missing Entity Annotations—0
Simple yet Powerful: An Overlooked Architecture for Nested Named Entity Recognition—0
Phone-ing it in: Towards Flexible Multi-Modal Language Model Training by Phonetic Representations of Data—0
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