{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,5,13]],"date-time":"2022-05-13T12:49:40Z","timestamp":1652446180304},"reference-count":36,"publisher":"Cambridge University Press (CUP)","issue":"2","license":[{"start":{"date-parts":[[2019,4,22]],"date-time":"2019-04-22T00:00:00Z","timestamp":1555891200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Theory and Practice of Logic Programming"],"published-print":{"date-parts":[[2020,3]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>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, <jats:italic>exceptional<\/jats:italic> 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 <jats:italic>intentional agents<\/jats:italic>. 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.<\/jats:p>","DOI":"10.1017\/s1471068419000048","type":"journal-article","created":{"date-parts":[[2019,4,22]],"date-time":"2019-04-22T03:41:37Z","timestamp":1555904497000},"page":"273-293","source":"Crossref","is-referenced-by-count":2,"title":["An Application of ASP Theories of Intentions to Understanding Restaurant Scenarios: Insights and Narrative Corpus"],"prefix":"10.1017","volume":"20","author":[{"given":"QINGLIN","family":"ZHANG","sequence":"first","affiliation":[]},{"given":"CHRIS","family":"BENTON","sequence":"additional","affiliation":[]},{"given":"DANIELA","family":"INCLEZAN","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2019,4,22]]},"reference":[{"key":"S1471068419000048_ref18","unstructured":"Inclezan, D. and Gelfond, M. 2011. Representing biological processes in modular action language ALM. 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