Work

SAD: A Large-Scale Strategic Argumentative Dialogue Dataset

Year: 2026

Type: conference-paper

Abstract: YongKang Liu, Jiayang Yu, Mingyang Wang, Yiqun Zhang, Ercong Nie, Shi Feng, Daling Wang, Kaisong Song, Hinrich Schuetze. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.

Source: Proceedings of the conference - Association for Computational Linguistics. Meeting

DOI: 10.18653/v1/2026.acl-long.1673

Authors: YongKang Liu, Jiayang Yu, Mingyang Wang, Yiqun Zhang, Ercong Nie, Shi Feng, Daling Wang, Kaisong Song, Hinrich Schuetze

Institutions: Northeastern University, Munich Center for Machine Learning, Ludwig-Maximilians-Universität München, Shanghai Jiao Tong University, Alibaba Group (China)

Language: English

Topic: Speech and dialogue systems

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities

Awards: G1364436578, G3523622274, G3663213935, G8666265765

OpenAlex ID: W7166869819

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