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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 1481–1490 of 1729 papers

TitleStatusHype
Syllable-based Neural Named Entity Recognition for Myanmar Language—0
ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream taskCode0
Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches—0
F10-SGD: Fast Training of Elastic-net Linear Models for Text Classification and Named-entity Recognition—0
Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition—0
Entity Recognition at First Sight: Improving NER with Eye Movement InformationCode0
Transfer Learning for Sequences via Learning to Collocate—0
Pretrained language model transfer on neural named entity recognition in Indonesian conversational texts—0
Massively Multilingual Transfer for NERCode0
Tuning Multilingual Transformers for Named Entity Recognition on Slavic LanguagesCode0
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