@inproceedings{tan-etal-2023-ccl23,
title = "{CCL}23-Eval任务4系统报告:基于深度学习的空间语义理解(System Report for {CCL}23-Eval Task4:Spatial Semantic Understanding Based on Deep Learning.)",
author = "Tan, ChenKun and
Hu, XianNian and
Qiu, XinPeng",
editor = "Sun, Maosong and
Qin, Bing and
Qiu, Xipeng and
Jiang, Jing and
Han, Xianpei",
booktitle = "Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)",
month = aug,
year = "2023",
address = "Harbin, China",
publisher = "Chinese Information Processing Society of China",
url = "https://aclanthology.org/2023.ccl-3.13",
pages = "139--149",
abstract = "{``}本文介绍了参赛系统在第三届中文空间语义理解评测(SpaCE2023)采用的技术路线:面向空间语义异常识别任务提出了抽取方法,并结合生成器进一步完成了空间语义角色标注任务,空间场景异同判断任务则使用了大语言模型生成。本文进一步探索了大语言模型在评测数据集上的应用,发现指令设计是未来工作的重点和难点。参赛系统的代码和模型见https://github.com/ShacklesLay/Space2023。{''}",
language = "Chinese",
}
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<abstract>“本文介绍了参赛系统在第三届中文空间语义理解评测(SpaCE2023)采用的技术路线:面向空间语义异常识别任务提出了抽取方法,并结合生成器进一步完成了空间语义角色标注任务,空间场景异同判断任务则使用了大语言模型生成。本文进一步探索了大语言模型在评测数据集上的应用,发现指令设计是未来工作的重点和难点。参赛系统的代码和模型见https://github.com/ShacklesLay/Space2023。”</abstract>
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%0 Conference Proceedings
%T CCL23-Eval任务4系统报告:基于深度学习的空间语义理解(System Report for CCL23-Eval Task4:Spatial Semantic Understanding Based on Deep Learning.)
%A Tan, ChenKun
%A Hu, XianNian
%A Qiu, XinPeng
%Y Sun, Maosong
%Y Qin, Bing
%Y Qiu, Xipeng
%Y Jiang, Jing
%Y Han, Xianpei
%S Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
%D 2023
%8 August
%I Chinese Information Processing Society of China
%C Harbin, China
%G Chinese
%F tan-etal-2023-ccl23
%X “本文介绍了参赛系统在第三届中文空间语义理解评测(SpaCE2023)采用的技术路线:面向空间语义异常识别任务提出了抽取方法,并结合生成器进一步完成了空间语义角色标注任务,空间场景异同判断任务则使用了大语言模型生成。本文进一步探索了大语言模型在评测数据集上的应用,发现指令设计是未来工作的重点和难点。参赛系统的代码和模型见https://github.com/ShacklesLay/Space2023。”
%U https://aclanthology.org/2023.ccl-3.13
%P 139-149
Markdown (Informal)
[CCL23-Eval任务4系统报告:基于深度学习的空间语义理解(System Report for CCL23-Eval Task4:Spatial Semantic Understanding Based on Deep Learning.)](https://aclanthology.org/2023.ccl-3.13) (Tan et al., CCL 2023)
ACL