Incremental semantics for dialogue processing: Requirements, and a comparison of two approaches

Julian Hough, Casey Kennington, David Schlangen, Jonathan Ginzburg

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

7 Scopus citations

Abstract

Truly interactive dialogue systems need to construct meaning on at least a word-by-word basis. We propose desiderata for incremental semantics for dialogue models and systems, a task not heretofore attempted thoroughly. After laying out the desirable properties we illustrate how they are met by current approaches, comparing two incremental semantic processing frameworks: Dynamic Syntax enriched with Type Theory with Records (DS-TTR) and Robust Minimal Recursion Semantics with incremental processing (RMRS-IP). We conclude these approaches are not significantly different with regards to their semantic representation construction, however their purported role within semantic models and dialogue models is where they diverge.

Original languageEnglish
Title of host publicationIWCS 2015 - Proceedings of the 11th International Conference on Computational Semantics
Pages206-216
Number of pages11
ISBN (Electronic)9781941643334
StatePublished - 2015
Event11th International Conference on Computational Semantics, IWCS 2015 - London, United Kingdom
Duration: 15 Apr 201517 Apr 2015

Publication series

NameIWCS 2015 - Proceedings of the 11th International Conference on Computational Semantics

Conference

Conference11th International Conference on Computational Semantics, IWCS 2015
Country/TerritoryUnited Kingdom
CityLondon
Period15/04/1517/04/15

EGS Disciplines

  • Computer Sciences

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