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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 1011–1020 of 1729 papers

TitleStatusHype
"Translation can't change a name": Using Multilingual Data for Named Entity Recognition—0
Transliteration: A Simple Technique For Improving Multilingual Language Modeling—0
TRIDIS: A Comprehensive Medieval and Early Modern Corpus for HTR and NER—0
Trigger-GNN: A Trigger-Based Graph Neural Network for Nested Named Entity Recognition—0
Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning—0
TriMod Fusion for Multimodal Named Entity Recognition in Social Media—0
TriNER: A Series of Named Entity Recognition Models For Hindi, Bengali & Marathi—0
Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER—0
TR-SEQ: Named Entity Recognition Dataset for Turkish Search Engine Queries—0
Trustworthy AI: Securing Sensitive Data in Large Language Models—0
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