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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
Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity RecognitionCode0
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature TextCode1
Arabic-English Text Translation Leveraging Hybrid NER—0
Segment-Level Neural Conditional Random Fields for Named Entity Recognition—0
WiNER: A Wikipedia Annotated Corpus for Named Entity Recognition—0
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition—0
MONPA: Multi-objective Named-entity and Part-of-speech Annotator for Chinese using Recurrent Neural Network—0
Named Entity Recognition in Twitter using Images and Text—0
Processo de constru \~ao de um corpus anotado com Entidades Geol\'ogicas visando REN (Building an annotated corpus with geological entities for NER)[In Portuguese]—0
Graph Convolutional Networks for Named Entity RecognitionCode0
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