Paper: Joint Satisfaction of Syntactic and Pragmatic Constraints Improves Incremental Spoken Language Understanding

ACL ID E12-1052
Title Joint Satisfaction of Syntactic and Pragmatic Constraints Improves Incremental Spoken Language Understanding
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

We present a model of semantic processing of spoken language that (a) is robust against ill-formed input, such as can be expected from automatic speech recognisers, (b) re- spects both syntactic and pragmatic con- straints in the computation of most likely interpretations, (c) uses a principled, ex- pressive semantic representation formalism (RMRS) with a well-defined model the- ory, and (d) works continuously (produc- ing meaning representations on a word- by-word basis, rather than only for full utterances) and incrementally (computing only the additional contribution by the new word, rather than re-computing for the whole utterance-so-far). We show that the joint satisfaction of syn- tactic and pragmatic constraints improves the performance of the NLU component (around 10% absolute, ove...