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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 1031–1040 of 1729 papers

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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
Vartani Spellcheck -- Automatic Context-Sensitive Spelling Correction of OCR-generated Hindi Text Using BERT and Levenshtein Distance—0
VEE-BERT: Accelerating BERT Inference for Named Entity Recognition via Vote Early Exiting—0
VicunaNER: Zero/Few-shot Named Entity Recognition using Vicuna—0
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