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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 1511–1520 of 1729 papers

TitleStatusHype
A Pragmatic Guide to Geoparsing EvaluationCode0
Named Entity Recognition on Twitter for Turkish using Semi-supervised Learning with Word Embeddings—0
Efficient Dependency-Guided Named Entity RecognitionCode0
Neural Adaptation Layers for Cross-domain Named Entity RecognitionCode0
Cross Script Hindi English NER Corpus from Wikipedia—0
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention MechanismCode0
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?Code0
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets—0
Memory, Show the Way: Memory Based Few Shot Word Representation Learning—0
Evaluation of a Sequence Tagging Tool for Biomedical TextsCode0
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