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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 841–850 of 1729 papers

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Confidence penalty, annealing Gaussian noise and zoneout for biLSTM-CRF networks for named entity recognition—0
Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition—0
Identifying Motion Entities in Natural Language and A Case Study for Named Entity Recognition—0
Identifying Named Entities as they are Typed—0
Identifying Planetary Names in Astronomy Papers: A Multi-Step Approach—0
Identifying professions & occupations in Health-related Social Media using Natural Language Processing—0
CoNECo: A corpus for named entity recognition and normalization of protein complexes—0
IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data—0
GlobalNER: Incorporating Non-local Information into Named Entity Recognition—0
Global Health Monitor: A Web-based System for Detecting and Mapping Infectious Diseases—0
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