<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="pham-etal-2017-nnvlp">
    <titleInfo>
        <title>NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Thai-Hoang</namePart>
        <namePart type="family">Pham</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Xuan-Khoai</namePart>
        <namePart type="family">Pham</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Tuan-Anh</namePart>
        <namePart type="family">Nguyen</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Phuong</namePart>
        <namePart type="family">Le-Hong</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2017-nov</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the IJCNLP 2017, System Demonstrations</title>
        </titleInfo>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Tapei, Taiwan</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This paper demonstrates neural network-based toolkit namely NNVLP for essential Vietnamese language processing tasks including part-of-speech (POS) tagging, chunking, Named Entity Recognition (NER). Our toolkit is a combination of bidirectional Long Short-Term Memory (Bi-LSTM), Convolutional Neural Network (CNN), Conditional Random Field (CRF), using pre-trained word embeddings as input, which outperforms previously published toolkits on these three tasks. We provide both of API and web demo for this toolkit.</abstract>
    <identifier type="citekey">pham-etal-2017-nnvlp</identifier>
    <location>
        <url>https://aclanthology.org/I17-3010</url>
    </location>
    <part>
        <date>2017-nov</date>
        <extent unit="page">
            <start>37</start>
            <end>40</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit
%A Pham, Thai-Hoang
%A Pham, Xuan-Khoai
%A Nguyen, Tuan-Anh
%A Le-Hong, Phuong
%S Proceedings of the IJCNLP 2017, System Demonstrations
%D 2017
%8 nov
%I Association for Computational Linguistics
%C Tapei, Taiwan
%F pham-etal-2017-nnvlp
%X This paper demonstrates neural network-based toolkit namely NNVLP for essential Vietnamese language processing tasks including part-of-speech (POS) tagging, chunking, Named Entity Recognition (NER). Our toolkit is a combination of bidirectional Long Short-Term Memory (Bi-LSTM), Convolutional Neural Network (CNN), Conditional Random Field (CRF), using pre-trained word embeddings as input, which outperforms previously published toolkits on these three tasks. We provide both of API and web demo for this toolkit.
%U https://aclanthology.org/I17-3010
%P 37-40

Markdown (Informal)

[NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit](https://aclanthology.org/I17-3010) (Pham et al., IJCNLP 2017)

• NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit (Pham et al., IJCNLP 2017)

ACL

• Thai-Hoang Pham, Xuan-Khoai Pham, Tuan-Anh Nguyen, and Phuong Le-Hong. 2017. NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit. In Proceedings of the IJCNLP 2017, System Demonstrations, pages 37–40, Tapei, Taiwan. Association for Computational Linguistics.