Answer Set Programming for controlled natural language processing

Rolf Schwitter, Stephen C. Guy

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

Answer Set Programming is a compelling non-monotonic knowledge representation paradigm for representing specifications in controlled natural language and reasoning about them. In this paper, we introduce the controlled natural language PENGASP and discuss the kind of answer set programs that the PENGASP system automatically generates for a given specification. The controlled natural language PENGASP is unique, since it is the first controlled natural language that uses Answer Set Programming as target language for reasoning, in particular for question answering. PENGASP allows us to specify factual and terminological knowledge, to combine weak and strong negation in order to specify a local form of the closed world assumption, to deal with cardinality constraints, to specify arithmetic operations, and to express defaults and exceptions. An emerging PENGASP specification can be queried in controlled natural language using closed world and open world reasoning depending on the information available in the specification.
Original languageEnglish
Title of host publicationJoint Proceedings of the 2nd Workshop on Natural Language Processing and Automated Reasoning, and the 2nd International Workshop on Learning and Nonmonotonic Reasoning at LPNMR 2015
EditorsMarcello Balduccini, Alessandra Mileo, Ekaterina Ovchinnikova, Aless Russo, Peter Schuller
Place of PublicationNUI Galway, Ireland
PublisherINSIGHT Centre for Data Analytics
Pages15-26
Number of pages12
Publication statusPublished - 2015
EventWorkshop on Natural Language Processing and Automated Reasoning (2nd : 2015), and International Workshop on Learning and Nonmonotonic Reasoning (2nd : 2015) - Lexington, KY
Duration: 27 Sep 201527 Sep 2015

Workshop

WorkshopWorkshop on Natural Language Processing and Automated Reasoning (2nd : 2015), and International Workshop on Learning and Nonmonotonic Reasoning (2nd : 2015)
CityLexington, KY
Period27/09/1527/09/15

Fingerprint Dive into the research topics of 'Answer Set Programming for controlled natural language processing'. Together they form a unique fingerprint.

Cite this