Towards the Interpretation of Utterance Sequences in a Dialogue System
نویسندگان
چکیده
This paper describes a probabilistic mechanism for the interpretation of sentence sequences developed for a spoken dialogue system mounted on a robotic agent. The mechanism receives as input a sequence of sentences, and produces an interpretation which integrates the interpretations of individual sentences. For our evaluation, we collected a corpus of hypothetical requests to a robot. Our mechanism exhibits good performance for sentence pairs, but requires further improvements for sentence sequences.
منابع مشابه
On the Use of Confidence for Statistical Decision in Dialogue Strategies
This paper describes an interpretation and decision strategy that minimizes interpretation errors and perform dialogue actions which may not depend on the hypothesized concepts only, but also on confidence of what has been recognized. The concepts introduced here are applied in a system which integrates language and interpretation models into Stochastic Finite State Transducers (SFST). Furtherm...
متن کاملInformation Extraction Tools and Methods for Understanding Dialogue in a Companion
This paper discusses how Information Extraction is used to understand and manage Dialogue in the EU-funded Companions project. This will be discussed with respect to the Senior Companion, one of two applications under development in the EU-funded Companions project. Over the last few years, research in human-computer dialogue systems has increased and much attention has focused on applying lear...
متن کاملIncremental interpretation and prediction of utterance meaning for interactive dialogue
We present techniques for the incremental interpretation and prediction of utterance meaning in dialogue systems. These techniques open possibilities for systems to initiate responsive overlap behaviors during user speech, such as interrupting, acknowledging, or completing a user’s utterance while it is still in progress. In an implemented system, we show that relatively high accuracy can be ac...
متن کاملNeural Utterance Ranking Model for Conversational Dialogue Systems
In this study, we present our neural utterance ranking (NUR) model, an utterance selection model for conversational dialogue agents. The NUR model ranks candidate utterances with respect to their suitability in relation to a given context using neural networks; in addition, a dialogue system based on the model converses with humans using highly ranked utterances. Specifically, the model process...
متن کاملTowards a Probabilistic, Multi-layered Spoken Language Interpretation System
We present a preliminary report of a probabilistic spoken-language interpretation mechanism that is part of a dialogue system for an office assistant robot. We offer a probabilistic formulation for the generation of candidate interpretations and the selection of the interpretation with the highest posterior probability. This formulation is implemented in a multi-layered interpretation process t...
متن کامل