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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 1591–1600 of 1729 papers

TitleStatusHype
VnCoreNLP: A Vietnamese Natural Language Processing ToolkitCode0
Named Entity Sequence Classification—0
Improving NER for Clinical Texts by Ensemble Approach using Segment Representations—0
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?Code0
Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity RecognitionCode0
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition—0
Segment-Level Neural Conditional Random Fields for Named Entity Recognition—0
Arabic-English Text Translation Leveraging Hybrid NER—0
WiNER: A Wikipedia Annotated Corpus for Named Entity Recognition—0
MONPA: Multi-objective Named-entity and Part-of-speech Annotator for Chinese using Recurrent Neural Network—0
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