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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 661–670 of 1729 papers

TitleStatusHype
Part-of-Speech Tagging of Odia Language Using statistical and Deep Learning-Based Approaches—0
AsNER -- Annotated Dataset and Baseline for Assamese Named Entity recognition—0
Win-Win Cooperation: Bundling Sequence and Span Models for Named Entity Recognition—0
Rethinking the Value of Gazetteer in Chinese Named Entity RecognitionCode0
Resilience of Named Entity Recognition Models under Adversarial AttackCode0
Label Refinement via Contrastive Learning for Distantly-Supervised Named Entity RecognitionCode0
AaltoNLP at SemEval-2022 Task 11: Ensembling Task-adaptive Pretrained Transformers for Multilingual Complex NER—0
MultiNERD: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation)Code1
Crossroads, Buildings and Neighborhoods: A Dataset for Fine-grained Location RecognitionCode0
Cross-Language Transfer of High-Quality Annotations: Combining Neural Machine Translation with Cross-Linguistic Span Alignment to Apply NER to Clinical Texts in a Low-Resource LanguageCode0
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