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General Information
    • ISSN: 2010-3700 (Online)
    • Abbreviated Title: Int. J. Mach. Learn. Comput.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Scopus (since 2017), EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
    • E-mail: ijmlc@ejournal.net
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.

IJMLC 2019 Vol.9(1): 8-13 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2019.9.1.758

A Deep Neural Network Model for the Task of Named Entity Recognition

The Anh Le and Mikhail S. Burtsev
Abstract—One of the most important factors which directly and significantly affects the quality of the neural sequence labeling is the selection and encoding the input features to generate rich semantic and grammatical representation vectors. In this paper, we propose a deep neural network model to address a particular task of sequence labeling problem, the task of Named Entity Recognition (NER). The model consists of three sub-networks to fully exploit character-level and capitalization features as well as word-level contextual representation. To show the ability of our model to generalize to different languages, we evaluated the model in Russian, Vietnamese, English and Chinese and obtained state-of-the-art performances: 91.10%, 94.43%, 91.22%, 92.95% of F-Measure on Gareev's dataset, VLSP-2016, CoNLL-2003 and MSRA datasets, respectively. Besides that, our model also obtained a good performance (about 70% of F1) with using only 100 samples for training and development sets.

Index Terms—Named entity recognition, bi-directional long short-term memory, convolutional neural network, conditional random field.

The Anh Le is with Neural Networks and Deep Learning Lab, Moscow Institute of Physics and Technology, Russia. He is also with Faculty of Information Technology, Vietnam Maritime University, Viet Nam (e-mail: anhlt@vimaru.edu.vn).
Mikhail S. Burtsev is with Neural Networks and Deep Learning Lab, Moscow Institute of Physics and Technology, Russia (e-mail: burtcev.ms@mipt.ru).

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Cite: The Anh Le and Mikhail S. Burtsev, "A Deep Neural Network Model for the Task of Named Entity Recognition," International Journal of Machine Learning and Computing vol. 9, no. 1, pp. 8-13, 2019.

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