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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 1541–1550 of 1729 papers

TitleStatusHype
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological TagsCode0
Bench-Marking Information Extraction in Semi-Structured Historical Handwritten Records—0
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy DataCode0
Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing—0
Named-Entity Tagging and Domain adaptation for Better Customized Translation—0
CRF-LSTM Text Mining Method Unveiling the Pharmacological Mechanism of Off-target Side Effect of Anti-Multiple Myeloma Drugs—0
BioAMA: Towards an End to End BioMedical Question Answering System—0
Simple Features for Strong Performance on Named Entity Recognition in Code-Switched Twitter Data—0
Tackling Code-Switched NER: Participation of CMU—0
Multilingual Named Entity Recognition on Spanish-English Code-switched Tweets using Support Vector Machines—0
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