NeuroNER: an easy-to-use program for named-entity recognition based on neural networks

Named-entity recognition (NER) aims at identifying entities of interest in a text. Artificial neural networks (ANNs) have recently been shown to outperform existing NER systems. However, ANNs remain challenging to use for non-expert users. In this paper, we present NeuroNER, an easy-to-use named-ent...

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Bibliographic Details
Main Authors: Dernoncourt, Franck (Author), Lee, Ji Young (Author), Szolovits, Peter (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Association for Computational Linguistics, 2022-01-10T20:39:05Z.
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