An Application of ASP Theories of Intentions to Understanding Restaurant Scenarios: Insights and Narrative Corpus. Issue 2 (22nd March 2020)

• Record Type: Journal Article
• Authors: ZHANG, QINGLIN; BENTON, CHRIS; INCLEZAN, DANIELA
• Is Part Of: Theory and practice of logic programming. Volume 20:Issue 2(2020)
• Page Start: 273
• Page End: 293
• Publication Date: 2020-03-22
• Subjects: Answer Set Programming, -- natural language understanding, -- intentional agents; Logic programming -- Periodicals; Artificial intelligence -- Computer programs -- Periodicals; Constraint programming (Computer science) -- Periodicals; 005.115
• DOI: 10.1017/S1471068419000048
• Languages: English
• ISSNs: 1471-0684

Abstract

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.