A Constraint-Based Model of Mixed-Initiative Dialogue for Information-Seeking Interactions
نویسندگان
چکیده
منابع مشابه
A Constraint-Based Approach for Cooperative Information-Seeking Dialogue
We present a dialogue generation model, implemented in the COMIX prototype information system, which uses a Constraint-Based Problem-Solver (CBPS) to support cooperative mixed-initiative information-seeking dialogue. Use of the CBPS enables a dialogue system to 1) incrementally interleave query construction with solution construction 2) immediately detect under-constrained and overconstrained i...
متن کاملA Mixed-Initiative Conversational Dialogue System for Healthcare
We present a mixed initiative conversational dialogue system designed to address primarily mental health care concerns related to military deployment. It is supported by a new information-state based dialogue manager, FLoReS (Forward-Looking, Reward Seeking dialogue manager), that allows both advanced, flexible, mixed initiative interaction, and efficient policy creation by domain experts. To e...
متن کاملEvaluation of a Dialogue System Based on a Generic Model that Combines Robust Speech Understanding and Mixed-initiative Control
This paper presents a generic model to combine robust speech understanding and mixed-initiative dialogue control in spoken dialogue systems. It relies on the use of semantic frames to conceptually store user interactions, a frame-unification procedure to deal with partial information, and a stack structure to handle initiative control. This model has been successfully applied in a dialogue syst...
متن کاملMIMIC: An Adaptive Mixed Initiative Spoken Dialogue System for Information Queries
This paper describes MIMIC, an adaptive mixed initiative spoken dialogue system that provides movie showtime information. MIMIC improves upon previous dialogue systems in two respects. First, it employs initiative-oriented strategy adaptation to automatically adapt response generation strategies based on the cumulative effect of information dynamically extracted from user utterances during the ...
متن کاملMaking Sense of Partial ∗
We address the challenging task of processing partial multimodal utterances in a mixed-initiative dialogue system for multiple applications such as information seeking, device control etc. Based on four different types of expectations computed by our action planner (aka dialog manager), we distinguish between expected utterances, various degrees of unexpected but plausible utterances, and unint...
متن کامل