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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 1101–1110 of 1729 papers

TitleStatusHype
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer—0
Segmenting Natural Language Sentences via Lexical Unit Analysis—0
Empirical Analysis of Unlabeled Entity Problem in Named Entity RecognitionCode1
CrossNER: Evaluating Cross-Domain Named Entity RecognitionCode1
Using multiple ASR hypotheses to boost i18n NLU performance—0
GottBERT: a pure German Language Model—0
COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities—0
Merge and Recognize: A Geometry and 2D Context Aware Graph Model for Named Entity Recognition from Visual Documents—0
A Semi-Supervised BERT Approach for Arabic Named Entity Recognition—0
Embed More Ignore Less (EMIL): Exploiting Enriched Representations for Arabic NLP—0
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