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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 1601–1610 of 1729 papers

TitleStatusHype
Improving Word Vector with Prior Knowledge in Semantic Dictionary—0
In-Context Learning for Few-Shot Nested Named Entity Recognition—0
In-Context Learning on a Budget: A Case Study in Token Classification—0
Incorporating Class-based Language Model for Named Entity Recognition in Factorized Neural Transducer—0
Incorporating External Annotation to improve Named Entity Translation in NMT—0
Incorporating Lexico-semantic Heuristics into Coreference Resolution Sieves for Named Entity Recognition at Document-level—0
Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text—0
INDUS: Effective and Efficient Language Models for Scientific Applications—0
Industry Scale Semi-Supervised Learning for Natural Language Understanding—0
Inflection-Tolerant Ontology-Based Named Entity Recognition for Real-Time Applications—0
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