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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 13711380 of 1729 papers

TitleStatusHype
Evolution of ESG-focused DLT Research: An NLP Analysis of the LiteratureCode0
FonMTL: Towards Multitask Learning for the Fon LanguageCode0
Foreseeing the Benefits of Incidental SupervisionCode0
Evaluation of a Sequence Tagging Tool for Biomedical TextsCode0
Student-Powered Digital Scholarship CoLab Project in the HKUST Library: Develop a Chinese Named-Entity Recognition (NER) Tool within One Semester from the Ground UpCode0
Automated Refugee Case Analysis: An NLP Pipeline for Supporting Legal PractitionersCode0
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingCode0
Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word CamouflageCode0
From English to Code-Switching: Transfer Learning with Strong Morphological CluesCode0
Raw-to-End Name Entity Recognition in Social MediaCode0
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