Tie Xu

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2023

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Incorporating Task-Specific Concept Knowledge into Script Learning
Chenkai Sun | Tie Xu | ChengXiang Zhai | Heng Ji
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

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.
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