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

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

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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, Lee, Ji Young, Szolovits, Peter
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Association for Computational Linguistics 2021
Online Access:https://hdl.handle.net/1721.1/133535

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