Incremental Semantics for Dialogue Processing: Requirements, and a Comparison of Two Approaches

Abstract : Truly interactive dialogue systems need to construct meaning on at least a word-byword 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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [28 references]  Display  Hide  Download

https://hal-univ-diderot.archives-ouvertes.fr/hal-01371420
Contributor : Jonathan Ginzburg <>
Submitted on : Monday, September 26, 2016 - 6:13:05 PM
Last modification on : Thursday, April 11, 2019 - 4:02:49 PM
Long-term archiving on : Tuesday, December 27, 2016 - 12:42:49 PM

File

HoughEtAl15IWCS.pdf
Publisher files allowed on an open archive

Identifiers

  • HAL Id : hal-01371420, version 1

Citation

Julian Hough, Casey Kennington, David Schlangen, Jonathan Ginzburg. Incremental Semantics for Dialogue Processing: Requirements, and a Comparison of Two Approaches. 11th International Conference on Computational Semantics, 2015, London, United Kingdom. ⟨hal-01371420⟩

Share

Metrics

Record views

95

Files downloads

288