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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 1111–1120 of 1729 papers

TitleStatusHype
Optimizing small BERTs trained for German NERCode0
Mitigating Temporal-Drift: A Simple Approach to Keep NER Models CrispCode0
Regularization for Long Named Entity RecognitionCode0
Zero-Resource Multi-Dialectal Arabic Natural Language Understanding—0
Effect of depth order on iterative nested named entity recognition models—0
Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages—0
Using a Frustratingly Easy Domain and Tagset Adaptation for Creating Slavic Named Entity Recognition SystemsCode0
Multilingual Named Entity Recognition and Matching Using BERT and Dedupe for Slavic Languages—0
Multilingual Slavic Named Entity Recognition—0
Identifying Named Entities as they are Typed—0
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