Application of Large Language Model-Based Prompt Engineering for Key Information Extraction from Audio-Visual Content

Wei Ting Huang; Yu-Chen Liu; Ming-Hsiang Su

Application of Large Language Model-Based Prompt Engineering for Key Information Extraction from Audio-Visual Content

Wei Ting Huang, Yu-Chen Liu, Ming-Hsiang Su

Correct Metadata for

Use this form to create a GitHub issue with structured data describing the correction. You will need a GitHub account. Once you create that issue, the correction will be reviewed by a staff member.

⚠️ Mobile Users: Submitting this form to create a new issue will only work with github.com, not the GitHub Mobile app.

Important: The Anthology treat PDFs as authoritative. Please use this form only to correct data that is out of line with the PDF. See our corrections guidelines if you need to change the PDF.

Title Adjust the title. Retain tags such as <fixed-case>.

Authors Adjust author names and order to match the PDF.

Abstract Correct abstract if needed. Retain XML formatting tags such as <tex-math>. You may use <b>...</b> for bold, <i>...</i> for italic, and <url>...</url> for URLs.

Verification against PDF Ensure that the new title/authors match the snapshot below. (If there is no snapshot or it is too small, consult the PDF.)

Authors concatenated from the text boxes above:

ALL author names match the snapshot above—including middle initials, hyphens, and accents.

Anthology ID:: 2024.rocling-1.22
Volume:: Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024)
Month:: November
Year:: 2024
Address:: Taipei City, Taiwan
Editors:: Shu-Chuan Tseng, Yu Tsao, Hen-Hsen Huang, Yao-Chung Fan, Chia-Hui Chang
Venue:: ROCLING
SIG:
Publisher:: The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Note:
Pages:: 180–183
Language:
URL:: https://aclanthology.org/2024.rocling-1.22/
DOI:
Bibkey:
Cite (ACL):: Wei Ting Huang, Yu-Chen Liu, and Ming-Hsiang Su. 2024. Application of Large Language Model-Based Prompt Engineering for Key Information Extraction from Audio-Visual Content. In Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024), pages 180–183, Taipei City, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):: Application of Large Language Model-Based Prompt Engineering for Key Information Extraction from Audio-Visual Content (Huang et al., ROCLING 2024)
Copy Citation:
PDF:: https://aclanthology.org/2024.rocling-1.22.pdf

PDF Cite Search Fix data

Export citation

BibTeX
MODS XML
Endnote
Preformatted

@inproceedings{huang-etal-2024-application,
    title = "Application of Large Language Model-Based Prompt Engineering for Key Information Extraction from Audio-Visual Content",
    author = "Huang, Wei Ting  and
      Liu, Yu-Chen  and
      Su, Ming-Hsiang",
    editor = "Tseng, Shu-Chuan  and
      Tsao, Yu  and
      Huang, Hen-Hsen  and
      Fan, Yao-Chung  and
      Chang, Chia-Hui",
    booktitle = "Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024)",
    month = nov,
    year = "2024",
    address = "Taipei City, Taiwan",
    publisher = "The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)",
    url = "https://aclanthology.org/2024.rocling-1.22/",
    pages = "180--183"
}

Download as File

<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="huang-etal-2024-application">
    <titleInfo>
        <title>Application of Large Language Model-Based Prompt Engineering for Key Information Extraction from Audio-Visual Content</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Wei</namePart>
        <namePart type="given">Ting</namePart>
        <namePart type="family">Huang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Yu-Chen</namePart>
        <namePart type="family">Liu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Ming-Hsiang</namePart>
        <namePart type="family">Su</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2024-11</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Shu-Chuan</namePart>
            <namePart type="family">Tseng</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Yu</namePart>
            <namePart type="family">Tsao</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Hen-Hsen</namePart>
            <namePart type="family">Huang</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Yao-Chung</namePart>
            <namePart type="family">Fan</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Chia-Hui</namePart>
            <namePart type="family">Chang</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)</publisher>
            <place>
                <placeTerm type="text">Taipei City, Taiwan</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <identifier type="citekey">huang-etal-2024-application</identifier>
    <location>
        <url>https://aclanthology.org/2024.rocling-1.22/</url>
    </location>
    <part>
        <date>2024-11</date>
        <extent unit="page">
            <start>180</start>
            <end>183</end>
        </extent>
    </part>
</mods>
</modsCollection>

Download as File

%0 Conference Proceedings
%T Application of Large Language Model-Based Prompt Engineering for Key Information Extraction from Audio-Visual Content
%A Huang, Wei Ting
%A Liu, Yu-Chen
%A Su, Ming-Hsiang
%Y Tseng, Shu-Chuan
%Y Tsao, Yu
%Y Huang, Hen-Hsen
%Y Fan, Yao-Chung
%Y Chang, Chia-Hui
%S Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024)
%D 2024
%8 November
%I The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
%C Taipei City, Taiwan
%F huang-etal-2024-application
%U https://aclanthology.org/2024.rocling-1.22/
%P 180-183

Download as File

Markdown (Informal)

[Application of Large Language Model-Based Prompt Engineering for Key Information Extraction from Audio-Visual Content](https://aclanthology.org/2024.rocling-1.22/) (Huang et al., ROCLING 2024)

Application of Large Language Model-Based Prompt Engineering for Key Information Extraction from Audio-Visual Content (Huang et al., ROCLING 2024)

ACL

Wei Ting Huang, Yu-Chen Liu, and Ming-Hsiang Su. 2024. Application of Large Language Model-Based Prompt Engineering for Key Information Extraction from Audio-Visual Content. In Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024), pages 180–183, Taipei City, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).