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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 1041–1050 of 1729 papers

TitleStatusHype
Dynamic Ensembles in Named Entity Recognition for Historical Arabic Texts—0
FuzzyBIO: A Proposal for Fuzzy Representation of Discontinuous EntitiesCode0
Multilingual Named Entity Recognition and Matching Using BERT and Dedupe for Slavic Languages—0
Multilingual Slavic Named Entity Recognition—0
Priberam Labs at the 3rd Shared Task on SlavNER—0
Benchmarking Pre-trained Language Models for Multilingual NER: TraSpaS at the BSNLP2021 Shared TaskCode0
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
Identifying Named Entities as they are Typed—0
Subword Pooling Makes a DifferenceCode0
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