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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 1051–1060 of 1729 papers

TitleStatusHype
USFD: Twitter NER with Drift Compensation and Linked Data—0
Using Large Language Model for End-to-End Chinese ASR and NER—0
Using LSTM and GRU With a New Dataset for Named Entity Recognition in the Arabic Language—0
Using multiple ASR hypotheses to boost i18n NLU performance—0
Using Word Embeddings to Translate Named Entities—0
USTC-NELSLIP at SemEval-2023 Task 2: Statistical Construction and Dual Adaptation of Gazetteer for Multilingual Complex NER—0
Utilizing AI and Social Media Analytics to Discover Adverse Side Effects of GLP-1 Receptor Agonists—0
Utilizing Large Language Models for Named Entity Recognition in Traditional Chinese Medicine against COVID-19 Literature: Comparative Study—0
UZH@CRAFT-ST: a Sequence-labeling Approach to Concept Recognition—0
Validating Label Consistency in NER Data Annotation—0
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