<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="zhixing-etal-2024-fourth">
    <titleInfo>
        <title>The Fourth Chinese Abstract Meaning Representation Parsing Evaluation</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Xu</namePart>
        <namePart type="family">Zhixing</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Zhang</namePart>
        <namePart type="family">Yixuan</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Li</namePart>
        <namePart type="family">Bin</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Zhou</namePart>
        <namePart type="family">Junsheng</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Qu</namePart>
        <namePart type="family">Weiguang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2024-07</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <language>
        <languageTerm type="text">eng</languageTerm>
    </language>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Hongfei</namePart>
            <namePart type="family">Lin</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Hongye</namePart>
            <namePart type="family">Tan</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Bin</namePart>
            <namePart type="family">Li</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Chinese Information Processing Society of China</publisher>
            <place>
                <placeTerm type="text">Taiyuan, China</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>“Abstract Meaning Representation has become a key research area in sentence-level semantic parsing within natural language processing. Substantial progress has been achieved in various NLP tasks using AMR. This paper presents the fourth Chinese Abstract Meaning Representation parsing evaluation, held during the technical evaluation task workshop at CCL 2024. The evaluation also introduced a new test set comprising Ancient Chinese sentences. Results indicated decent performance, with the top team achieving an F1 of 0.8382 in the open modality, surpassing the previous record at CoNLL 2020 by 3.30 percentage points under the MRP metric. However, current large language models perform poorly in AMR parsing of Ancient Chinese, highlighting the need for effective training strategies. The complex syntax and semantics of Ancient Chinese pose significant challenges. Additionally, optimizing transfer learning techniques to better apply knowledge from Chinese Mandarin to Ancient Chinese parsing is crucial. Only through continuous innovation and collaboration can significant advancements in both Ancient Chinese and Chinese Mandarin AMR parsing be achieved.”</abstract>
    <identifier type="citekey">zhixing-etal-2024-fourth</identifier>
    <location>
        <url>https://aclanthology.org/2024.ccl-3.18/</url>
    </location>
    <part>
        <date>2024-07</date>
        <extent unit="page">
            <start>160</start>
            <end>171</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T The Fourth Chinese Abstract Meaning Representation Parsing Evaluation
%A Zhixing, Xu
%A Yixuan, Zhang
%A Bin, Li
%A Junsheng, Zhou
%A Weiguang, Qu
%Y Lin, Hongfei
%Y Tan, Hongye
%Y Li, Bin
%S Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
%D 2024
%8 July
%I Chinese Information Processing Society of China
%C Taiyuan, China
%G eng
%F zhixing-etal-2024-fourth
%X “Abstract Meaning Representation has become a key research area in sentence-level semantic parsing within natural language processing. Substantial progress has been achieved in various NLP tasks using AMR. This paper presents the fourth Chinese Abstract Meaning Representation parsing evaluation, held during the technical evaluation task workshop at CCL 2024. The evaluation also introduced a new test set comprising Ancient Chinese sentences. Results indicated decent performance, with the top team achieving an F1 of 0.8382 in the open modality, surpassing the previous record at CoNLL 2020 by 3.30 percentage points under the MRP metric. However, current large language models perform poorly in AMR parsing of Ancient Chinese, highlighting the need for effective training strategies. The complex syntax and semantics of Ancient Chinese pose significant challenges. Additionally, optimizing transfer learning techniques to better apply knowledge from Chinese Mandarin to Ancient Chinese parsing is crucial. Only through continuous innovation and collaboration can significant advancements in both Ancient Chinese and Chinese Mandarin AMR parsing be achieved.”
%U https://aclanthology.org/2024.ccl-3.18/
%P 160-171

Markdown (Informal)

[The Fourth Chinese Abstract Meaning Representation Parsing Evaluation](https://aclanthology.org/2024.ccl-3.18/) (Zhixing et al., CCL 2024)

• The Fourth Chinese Abstract Meaning Representation Parsing Evaluation (Zhixing et al., CCL 2024)

ACL

• Xu Zhixing, Zhang Yixuan, Li Bin, Zhou Junsheng, and Qu Weiguang. 2024. The Fourth Chinese Abstract Meaning Representation Parsing Evaluation. In Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations), pages 160–171, Taiyuan, China. Chinese Information Processing Society of China.