@inproceedings{mu-etal-2025-ccl25,
title = "{CCL}25-Eval任务12总结报告:面向中文语音的实体关系三元组抽取",
author = "Mu, Wenxuan and
Ning, Jinzhong and
Pan, Yilin and
Tulajiang, Paerhati and
Sun, Yuanyuan and
Li, SongTao and
Ji, Yanxu and
Yin, Weiming and
Zhang, Yijia and
Lin, Hongfei",
editor = "Lin, Hongfei and
Li, Bin and
Tan, Hongye",
booktitle = "Proceedings of the 24th {C}hina National Conference on Computational Linguistics ({CCL} 2025)",
month = aug,
year = "2025",
address = "Jinan, China",
publisher = "Chinese Information Processing Society of China",
url = "https://aclanthology.org/2025.ccl-2.58/",
pages = "475--480",
abstract = "``中文语音实体关系三元组抽取任务(Chinese Speech Entity-Relation Triple Extraction Task, CSRTE)是第二十四届中国计算语言学大会中的一项技术评测,旨在从中文语音数据中自动识别并提取实体及其相互关系,构建结构化的语音关系三元组(头实体、关系、尾实体)。本任务的目标是提升中文语音关系三元组抽取的准确性与效率,增强模型在不同语境和复杂语音场景下的鲁棒性,实现从语音输入到文本三元组输出的全流程自动化处理。通过本次评测,有助于推动中文语音信息抽取技术的发展,促进语音与自然语言处理技术的深度融合,为智能应用提供更加丰富且精准的基础数据支持。此次评测共有257支队伍报名参赛,其中59支队伍提交了A榜成绩。成绩排名前15的队伍晋级A榜,并且表现突出的前朷支队伍提交了技术报告。''"
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<abstract>“中文语音实体关系三元组抽取任务(Chinese Speech Entity-Relation Triple Extraction Task, CSRTE)是第二十四届中国计算语言学大会中的一项技术评测,旨在从中文语音数据中自动识别并提取实体及其相互关系,构建结构化的语音关系三元组(头实体、关系、尾实体)。本任务的目标是提升中文语音关系三元组抽取的准确性与效率,增强模型在不同语境和复杂语音场景下的鲁棒性,实现从语音输入到文本三元组输出的全流程自动化处理。通过本次评测,有助于推动中文语音信息抽取技术的发展,促进语音与自然语言处理技术的深度融合,为智能应用提供更加丰富且精准的基础数据支持。此次评测共有257支队伍报名参赛,其中59支队伍提交了A榜成绩。成绩排名前15的队伍晋级A榜,并且表现突出的前朷支队伍提交了技术报告。”</abstract>
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%0 Conference Proceedings
%T CCL25-Eval任务12总结报告:面向中文语音的实体关系三元组抽取
%A Mu, Wenxuan
%A Ning, Jinzhong
%A Pan, Yilin
%A Tulajiang, Paerhati
%A Sun, Yuanyuan
%A Li, SongTao
%A Ji, Yanxu
%A Yin, Weiming
%A Zhang, Yijia
%A Lin, Hongfei
%Y Lin, Hongfei
%Y Li, Bin
%Y Tan, Hongye
%S Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)
%D 2025
%8 August
%I Chinese Information Processing Society of China
%C Jinan, China
%F mu-etal-2025-ccl25
%X “中文语音实体关系三元组抽取任务(Chinese Speech Entity-Relation Triple Extraction Task, CSRTE)是第二十四届中国计算语言学大会中的一项技术评测,旨在从中文语音数据中自动识别并提取实体及其相互关系,构建结构化的语音关系三元组(头实体、关系、尾实体)。本任务的目标是提升中文语音关系三元组抽取的准确性与效率,增强模型在不同语境和复杂语音场景下的鲁棒性,实现从语音输入到文本三元组输出的全流程自动化处理。通过本次评测,有助于推动中文语音信息抽取技术的发展,促进语音与自然语言处理技术的深度融合,为智能应用提供更加丰富且精准的基础数据支持。此次评测共有257支队伍报名参赛,其中59支队伍提交了A榜成绩。成绩排名前15的队伍晋级A榜,并且表现突出的前朷支队伍提交了技术报告。”
%U https://aclanthology.org/2025.ccl-2.58/
%P 475-480
Markdown (Informal)
[CCL25-Eval任务12总结报告:面向中文语音的实体关系三元组抽取](https://aclanthology.org/2025.ccl-2.58/) (Mu et al., CCL 2025)
ACL
- Wenxuan Mu, Jinzhong Ning, Yilin Pan, Paerhati Tulajiang, Yuanyuan Sun, SongTao Li, Yanxu Ji, Weiming Yin, Yijia Zhang, and Hongfei Lin. 2025. CCL25-Eval任务12总结报告:面向中文语音的实体关系三元组抽取. In Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025), pages 475–480, Jinan, China. Chinese Information Processing Society of China.