Open AccessFULL-FLEDGED SEMANTIC ANALYSIS AS A TOOL FOR RESOLVING TRIANGLE-COPA SOCIAL SCENARIOS
Author(s) -
Igor Boguslavsky,
Vyacheslav Dikonov,
Tatiana I. Frolova,
Leonid L. Iomdin,
Alexander V. Lazursky,
Ivan P. Rygaev,
Svetlana P. Timoshenko
Publication year - 2020
Publication title -
kompʹûternaâ lingvistika i intellektualʹnye tehnologii
Language(s) - English
Resource type - Conference proceedings
ISSN - 2075-7182
DOI - 10.28995/2075-7182-2020-19-106-118
Subject(s) - statement (logic) , interpretation (philosophy) , computer science , task (project management) , set (abstract data type) , semantic interpretation , artificial intelligence , natural language processing , common sense , information retrieval , programming language , epistemology , philosophy , management , economics
Text interpretation often requires common sense knowledge and reasoning. A convenient tool for developing methods of common sense reasoning are special sets of challenge problems whose interpretation requires sophisticated reasoning. An interesting example is a recently published data set called Triangle Choice of Plausible Alternatives (Triangle-COPA), which contains 100 multiple-choice problems that test the interpretation of social scenarios. Each problem includes a statement and two alternatives. The task is to identify the more plausible alternative. For processing Triangle-COPA data we use SemETAP, a general purpose semantic analyzer. We implement the full scenario of NL understanding starting from NL texts and not from manually composed simplified logical formulas, which is a common practice in logic-based approaches to common sense reasoning. We produce Enhanced Semantic Structures of the statement and both alternatives and check which alternative manifests more semantic agreement with the statement in terms of inferences.