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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 381–390 of 1729 papers

TitleStatusHype
Combining neural and knowledge-based approaches to Named Entity Recognition in Polish—0
Comparing the Performance of NLP Toolkits and Evaluation measures in Legal Tech—0
Comparison and Adaptation of Automatic Evaluation Metrics for Quality Assessment of Re-Speaking—0
Aspect-Based Sentiment Analysis and Singer Name Entity Recognition using Parameter Generation Network Based Transfer Learning—0
Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service—0
Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision—0
Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges—0
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding—0
Computational Approaches to Arabic-English Code-Switching—0
A Multi-Strategy Approach for Location Mining in Tweets: AUT NLP Group Entry for ALTA-2014 Shared Task—0
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