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        <title>Incorporating Task-Specific Concept Knowledge into Script Learning</title>
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    <abstract>In this paper, we present Tetris, a new task of Goal-Oriented Script Completion. Unlike previous work, it considers a more realistic and general setting, where the input includes not only the goal but also additional user context, including preferences and history. To address this problem, we propose a novel approach, which uses two techniques to improve performance: (1) concept prompting, and (2) script-oriented contrastive learning that addresses step repetition and hallucination problems. On our WikiHow-based dataset, we find that both methods improve performance.</abstract>
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%0 Conference Proceedings
%T Incorporating Task-Specific Concept Knowledge into Script Learning
%A Sun, Chenkai
%A Xu, Tie
%A Zhai, ChengXiang
%A Ji, Heng
%Y Vlachos, Andreas
%Y Augenstein, Isabelle
%S Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
%D 2023
%8 May
%I Association for Computational Linguistics
%C Dubrovnik, Croatia
%F sun-etal-2023-incorporating
%X In this paper, we present Tetris, a new task of Goal-Oriented Script Completion. Unlike previous work, it considers a more realistic and general setting, where the input includes not only the goal but also additional user context, including preferences and history. To address this problem, we propose a novel approach, which uses two techniques to improve performance: (1) concept prompting, and (2) script-oriented contrastive learning that addresses step repetition and hallucination problems. On our WikiHow-based dataset, we find that both methods improve performance.
%R 10.18653/v1/2023.eacl-main.220
%U https://aclanthology.org/2023.eacl-main.220
%U https://doi.org/10.18653/v1/2023.eacl-main.220
%P 3026-3040

Markdown (Informal)

[Incorporating Task-Specific Concept Knowledge into Script Learning](https://aclanthology.org/2023.eacl-main.220) (Sun et al., EACL 2023)

• Incorporating Task-Specific Concept Knowledge into Script Learning (Sun et al., EACL 2023)

ACL

• Chenkai Sun, Tie Xu, ChengXiang Zhai, and Heng Ji. 2023. Incorporating Task-Specific Concept Knowledge into Script Learning. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 3026–3040, Dubrovnik, Croatia. Association for Computational Linguistics.