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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 10711080 of 1729 papers

TitleStatusHype
Cross-Lingual Named Entity Recognition Using Parallel Corpus: A New Approach Using XLM-RoBERTa Alignment0
Named Entity Recognition in the Style of Object Detection0
Recent Trends in Named Entity Recognition (NER)0
SkillNER: Mining and Mapping Soft Skills from any TextCode1
Validating Label Consistency in NER Data Annotation0
Single versus Multiple Annotation for Named Entity Recognition of MutationsCode0
SoftNER: Mining Knowledge Graphs From Cloud Incidents0
Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence LabelingCode0
A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis0
PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsingCode1
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