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

arXiv: https://arxiv.org/abs/1810.00445 · HTML: https://mlsanity.com/paper/1810.00445/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Sep 2018.

## Built on by (most cited first, 1 of 1)

- [An ASP-based Approach to Answering Natural Language Questions for Texts](https://mlsanity.com/paper/2112.11241/) (2021)

## Abstract (arXiv)

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).