<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="tong-etal-2021-multi">
    <titleInfo>
        <title>A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Yiqi</namePart>
        <namePart type="family">Tong</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Yidong</namePart>
        <namePart type="family">Chen</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Xiaodong</namePart>
        <namePart type="family">Shi</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2021-aug</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021</title>
        </titleInfo>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Online</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <identifier type="citekey">tong-etal-2021-multi</identifier>
    <identifier type="doi">10.18653/v1/2021.findings-acl.424</identifier>
    <location>
        <url>https://aclanthology.org/2021.findings-acl.424</url>
    </location>
    <part>
        <date>2021-aug</date>
        <extent unit="page">
            <start>4804</start>
            <end>4813</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information
%A Tong, Yiqi
%A Chen, Yidong
%A Shi, Xiaodong
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 aug
%I Association for Computational Linguistics
%C Online
%F tong-etal-2021-multi
%R 10.18653/v1/2021.findings-acl.424
%U https://aclanthology.org/2021.findings-acl.424
%U https://doi.org/10.18653/v1/2021.findings-acl.424
%P 4804-4813

Markdown (Informal)

[A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information](https://aclanthology.org/2021.findings-acl.424) (Tong et al., Findings 2021)

• A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information (Tong et al., Findings 2021)

ACL

• Yiqi Tong, Yidong Chen, and Xiaodong Shi. 2021. A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 4804–4813, Online. Association for Computational Linguistics.