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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

Showing 15711580 of 1729 papers

TitleStatusHype
Approche supervis\'ee \`a base de cellules LSTM bidirectionnelles pour la d\'esambigu\" lexicale (LSTM Based Supervised Approach for Word Sense Disambiguation)0
Un outil d'\'etiquetage rapide et un corpus libre en entit\'es nomm\'ees du Fran (A fast tagging tool and a free French named entity corpus)0
Le benchmarking de la reconnaissance d'entit\'es nomm\'ees pour le fran (Benchmarking for French NER)0
Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition0
Arabic Named Entity Recognition using Word Representations0
Why Comparing Single Performance Scores Does Not Allow to Draw Conclusions About Machine Learning ApproachesCode0
A Feature-Based Model for Nested Named-Entity Recognition at VLSP-2018 NER Evaluation CampaignCode0
A Study of Recent Contributions on Information Extraction0
A Feature-Rich Vietnamese Named-Entity Recognition ModelCode0
CliNER 2.0: Accessible and Accurate Clinical Concept Extraction0
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