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COVER: Covering the semantically tractable questions
KTH, School of Computer Science and Communication (CSC), Theoretical Computer Science, TCS.
2017 (English)In: 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of the Software Demonstrations, Association for Computational Linguistics, 2017, 1-4 p.Conference paper (Refereed)
Abstract [en]

In semantic parsing, natural language questions map to meaning representation language (MRL) expressions over some fixed vocabulary of predicates. To do this reliably, one must guarantee that for a wide class of natural language questions (the so called semantically tractable questions), correct interpretations are always in the mapped set of possibilities. Here we demonstrate the system COVER which significantly clarifies, revises and extends the notion of semantic tractability. COVER is written in Python and uses NLTK.

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2017. 1-4 p.
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:kth:diva-211887Scopus ID: 2-s2.0-85021643714ISBN: 9781510838604 (print)OAI: oai:DiVA.org:kth-211887DiVA: diva2:1131555
Conference
Software Demonstrations at the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017, Valencia, Spain, 3 April 2017 through 7 April 2017
Note

QC 20170815

Available from: 2017-08-15 Created: 2017-08-15 Last updated: 2018-01-13Bibliographically approved

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