混合 LoRA 专家的中文抽象语义表示解析框架

Zihao Wu (吴梓浩); Hua Yin; Ziqian Gao; Jiajia Zhang; Yuelei Ji; Kuntian Tang

混合 LoRA 专家的中文抽象语义表示解析框架

Zihao Wu (吴梓浩), Hua Yin (尹华), Ziqian Gao (高子千), Jiajia Zhang (张佳佳), Yuelei Ji (季跃蕾), Kuntian Tang (唐堃添)

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.

Abstract

“本文介绍了我们在第二十三届中国计算语言学大会中文抽象语义表示解析评测任务中提交的参赛系统。抽象语义表示 (Abstract Meaning Representation,AMR) 使用有向无环图对句子进行建模,以语义概念作为节点,关系标签作为边,表示一个句子的语义。我们受到结合语法信息的 AMR 解析研究的启发,提出混合 LoRA(Low-Rank Adaption) 专家的 CAMR 解析框架,该框架包含一个由大型语言模型微调而来的基础 CAMR 解析器和 4 个句类专家和 1 个古汉语 LoRA 专家模型。最终,本文所提出的框架在三个评测数据集中均取得了最好的成绩。”

Anthology ID:: 2024.ccl-3.16
Volume:: Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
Month:: July
Year:: 2024
Address:: Taiyuan, China
Editors:: Lin Hongfei, Tan Hongye, Li Bin
Venue:: CCL
SIG:
Publisher:: Chinese Information Processing Society of China
Note:
Pages:: 143–153
Language:: Chinese
URL:: https://aclanthology.org/2024.ccl-3.16/
DOI:
Bibkey:
Cite (ACL):: Zihao Wu, Hua Yin, Ziqian Gao, Jiajia Zhang, Yuelei Ji, and Kuntian Tang. 2024. 混合 LoRA 专家的中文抽象语义表示解析框架. In Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations), pages 143–153, Taiyuan, China. Chinese Information Processing Society of China.
Cite (Informal):: 混合 LoRA 专家的中文抽象语义表示解析框架 (Wu et al., CCL 2024)
Copy Citation:
PDF:: https://aclanthology.org/2024.ccl-3.16.pdf

PDF Cite Search Fix data

Export citation

BibTeX
MODS XML
Endnote
Preformatted

@inproceedings{zihao-etal-2024-hun,
    title = "混合 {L}o{RA} 专家的中文抽象语义表示解析框架",
    author = "Wu, Zihao  and
      Yin, Hua  and
      Gao, Ziqian  and
      Zhang, Jiajia  and
      Ji, Yuelei  and
      Tang, Kuntian",
    editor = "Hongfei, Lin  and
      Hongye, Tan  and
      Bin, Li",
    booktitle = "Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)",
    month = jul,
    year = "2024",
    address = "Taiyuan, China",
    publisher = "Chinese Information Processing Society of China",
    url = "https://aclanthology.org/2024.ccl-3.16/",
    pages = "143--153",
    language = "zho",
    abstract = "``本文介绍了我们在第二十三届中国计算语言学大会中文抽象语义表示解析评测任务中提交的参赛系统。抽象语义表示 (Abstract Meaning Representation,AMR) 使用有向无环图对句子进行建模,以语义概念作为节点,关系标签作为边,表示一个句子的语义。我们受到结合语法信息的 AMR 解析研究的启发,提出混合 LoRA(Low-Rank Adaption) 专家的 CAMR 解析框架,该框架包含一个由大型语言模型微调而来的基础 CAMR 解析器和 4 个句类专家和 1 个古汉语 LoRA 专家模型。最终,本文所提出的框架在三个评测数据集中均取得了最好的成绩。''"
}

Download as File

<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="zihao-etal-2024-hun">
    <titleInfo>
        <title>混合 LoRA 专家的中文抽象语义表示解析框架</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Zihao</namePart>
        <namePart type="family">Wu</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Hua</namePart>
        <namePart type="family">Yin</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Ziqian</namePart>
        <namePart type="family">Gao</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Jiajia</namePart>
        <namePart type="family">Zhang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Yuelei</namePart>
        <namePart type="family">Ji</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Kuntian</namePart>
        <namePart type="family">Tang</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2024-07</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <language>
        <languageTerm type="text">zho</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">Lin</namePart>
            <namePart type="family">Hongfei</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Tan</namePart>
            <namePart type="family">Hongye</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Li</namePart>
            <namePart type="family">Bin</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>“本文介绍了我们在第二十三届中国计算语言学大会中文抽象语义表示解析评测任务中提交的参赛系统。抽象语义表示 (Abstract Meaning Representation,AMR) 使用有向无环图对句子进行建模,以语义概念作为节点,关系标签作为边,表示一个句子的语义。我们受到结合语法信息的 AMR 解析研究的启发,提出混合 LoRA(Low-Rank Adaption) 专家的 CAMR 解析框架,该框架包含一个由大型语言模型微调而来的基础 CAMR 解析器和 4 个句类专家和 1 个古汉语 LoRA 专家模型。最终,本文所提出的框架在三个评测数据集中均取得了最好的成绩。”</abstract>
    <identifier type="citekey">zihao-etal-2024-hun</identifier>
    <location>
        <url>https://aclanthology.org/2024.ccl-3.16/</url>
    </location>
    <part>
        <date>2024-07</date>
        <extent unit="page">
            <start>143</start>
            <end>153</end>
        </extent>
    </part>
</mods>
</modsCollection>

Download as File

%0 Conference Proceedings
%T 混合 LoRA 专家的中文抽象语义表示解析框架
%A Wu, Zihao
%A Yin, Hua
%A Gao, Ziqian
%A Zhang, Jiajia
%A Ji, Yuelei
%A Tang, Kuntian
%Y Hongfei, Lin
%Y Hongye, Tan
%Y Bin, Li
%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 zho
%F zihao-etal-2024-hun
%X “本文介绍了我们在第二十三届中国计算语言学大会中文抽象语义表示解析评测任务中提交的参赛系统。抽象语义表示 (Abstract Meaning Representation,AMR) 使用有向无环图对句子进行建模,以语义概念作为节点,关系标签作为边,表示一个句子的语义。我们受到结合语法信息的 AMR 解析研究的启发,提出混合 LoRA(Low-Rank Adaption) 专家的 CAMR 解析框架,该框架包含一个由大型语言模型微调而来的基础 CAMR 解析器和 4 个句类专家和 1 个古汉语 LoRA 专家模型。最终,本文所提出的框架在三个评测数据集中均取得了最好的成绩。”
%U https://aclanthology.org/2024.ccl-3.16/
%P 143-153

Download as File

Markdown (Informal)

[混合 LoRA 专家的中文抽象语义表示解析框架](https://aclanthology.org/2024.ccl-3.16/) (Wu et al., CCL 2024)

混合 LoRA 专家的中文抽象语义表示解析框架 (Wu et al., CCL 2024)

ACL

Zihao Wu, Hua Yin, Ziqian Gao, Jiajia Zhang, Yuelei Ji, and Kuntian Tang. 2024. 混合 LoRA 专家的中文抽象语义表示解析框架. In Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations), pages 143–153, Taiyuan, China. Chinese Information Processing Society of China.