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arXiv · 1810.00445

An Application of ASP Theories of Intentions to Understanding Restaurant Scenarios: Insights and Narrative Corpus

Qinglin Zhang·Chris Benton·Daniela Inclezan
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Abstract

This paper presents a practical application of Answer Set Programming to the understanding of narratives about restaurants. While this task was investigated in depth by Erik Mueller, exceptional scenarios remained a serious challenge for his script-based story comprehension system. We present a methodology that remedies this issue by modeling characters in a restaurant episode as intentional agents. We focus especially on the refinement of certain components of this methodology in order to increase coverage and performance. We present a restaurant story corpus that we created to design and evaluate our methodology. Under consideration in Theory and Practice of Logic Programming (TPLP).

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Qinglin Zhang, Chris Benton, Daniela Inclezan. 2018-09-30. An Application of ASP Theories of Intentions to Understanding Restaurant Scenarios: Insights and Narrative Corpus. https://arxiv.org/abs/1810.00445

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