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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 1001–1010 of 1729 papers

TitleStatusHype
How to Adapt Your Pretrained Multilingual Model to 1600 Languages—0
A Unified Generative Framework for Various NER SubtasksCode1
Exploiting Global Contextual Information for Document-level Named Entity Recognition—0
Data Cleaning Tools for Token Classification Tasks—0
Building Low-Resource NER Models Using Non-Speaker Annotations—0
An Investigation towards Differentially Private Sequence Tagging in a Federated Framework—0
Identifying professions & occupations in Health-related Social Media using Natural Language Processing—0
Multi-Grained Knowledge Distillation for Named Entity Recognition—0
Entity Resolution in Open-domain Conversations—0
GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input—0
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