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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 1061–1070 of 1729 papers

TitleStatusHype
Modularized Interaction Network for Named Entity Recognition—0
TexSmart: A System for Enhanced Natural Language Understanding—0
Active Curriculum Learning—0
SimpleNER Sentence Simplification System for GEM 2021—0
MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER—0
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity RecognitionCode0
An automated domain-independent text reading, interpreting and extracting approach for reviewing the scientific literature—0
Stress Test Evaluation of Biomedical Word EmbeddingsCode0
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition—0
BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge—0
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