<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="huo-chen-2024-ancient">
    <titleInfo>
        <title>Ancient Chinese Sentence Segmentation and Punctuation on Xunzi LLM</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Shitu</namePart>
        <namePart type="family">Huo</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Wenhui</namePart>
        <namePart type="family">Chen</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2024-05</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Third Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA) @ LREC-COLING-2024</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Rachele</namePart>
            <namePart type="family">Sprugnoli</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Marco</namePart>
            <namePart type="family">Passarotti</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>ELRA and ICCL</publisher>
            <place>
                <placeTerm type="text">Torino, Italia</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This paper describes the system submitted for the EvaHan 2024 Task on ancient Chinese sentence segmentation and punctuation. Our study utillizes the Xunzi large language model as the base model to evaluate the overall performance and the performance by record type. The applied methodologies and the prompts utilized in our study have shown to be helpful and effective in aiding the model’s performance evaluation.</abstract>
    <identifier type="citekey">huo-chen-2024-ancient</identifier>
    <location>
        <url>https://aclanthology.org/2024.lt4hala-1.29</url>
    </location>
    <part>
        <date>2024-05</date>
        <extent unit="page">
            <start>242</start>
            <end>245</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Ancient Chinese Sentence Segmentation and Punctuation on Xunzi LLM
%A Huo, Shitu
%A Chen, Wenhui
%Y Sprugnoli, Rachele
%Y Passarotti, Marco
%S Proceedings of the Third Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA) @ LREC-COLING-2024
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F huo-chen-2024-ancient
%X This paper describes the system submitted for the EvaHan 2024 Task on ancient Chinese sentence segmentation and punctuation. Our study utillizes the Xunzi large language model as the base model to evaluate the overall performance and the performance by record type. The applied methodologies and the prompts utilized in our study have shown to be helpful and effective in aiding the model’s performance evaluation.
%U https://aclanthology.org/2024.lt4hala-1.29
%P 242-245

Markdown (Informal)

[Ancient Chinese Sentence Segmentation and Punctuation on Xunzi LLM](https://aclanthology.org/2024.lt4hala-1.29) (Huo & Chen, LT4HALA-WS 2024)

• Ancient Chinese Sentence Segmentation and Punctuation on Xunzi LLM (Huo & Chen, LT4HALA-WS 2024)

ACL

• Shitu Huo and Wenhui Chen. 2024. Ancient Chinese Sentence Segmentation and Punctuation on Xunzi LLM. In Proceedings of the Third Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA) @ LREC-COLING-2024, pages 242–245, Torino, Italia. ELRA and ICCL.