Now showing items 11-20 of 23
The MATCH Corpus: A Corpus of Older and Younger Users' Interactions With Spoken Dialogue Systems.
We present the MATCH corpus, a unique data set of 447 dialogues in which 26 older and 24 younger adults interact with nine different spoken dialogue systems. The systems varied in the number of options presented and the ...
Automatic topic segmentation and labeling in multiparty dialogue
This study concerns how to segment a scenario-driven multiparty dialogue and how to label these segments automatically. We apply approaches that have been proposed for identifying topic boundaries at a coarser level to ...
Using Natural Language Processing to Analyze Tutorial Dialogue Corpora Across Domains and Modalities
Our research goal is to investigate whether previous findings and methods in the area of tutorial dialogue can be generalized across dialogue corpora that differ in domain (mechanics versus electricity in physics), ...
Learning Dialogue Strategies from Older and Younger Simulated Users
Older adults are a challenging user group because their behaviour can be highly variable. To the best of our knowledge, this is the first study where dialogue strategies are learned and evaluated with both simulated younger ...
Combining Multiple Knowledge Sources for Dialogue Segmentation in Multimedia Archives
Automatic segmentation is important for making multimedia archives comprehensible, and for developing downstream information retrieval and extraction modules. In this study, we explore approaches that can segment ...
Evaluating Information Presentation Strategies for Spoken Recommendations
We report the results of a Wizard-of-Oz (WoZ) study comparing two approaches to presenting information in a spoken dialogue system generating flight recommendations. We found that recommendations presented using the ...
The software architecture for the First Challenge on Generating Instructions in Virtual Environments.
The GIVE Challenge is a new Internet-based evaluation effort for natural language generation systems. In this paper, we motivate and describe the software infrastructure that we developed to support this challenge.
A Study of Feedback Strategies in Foreign Language Classrooms and Tutorials with Implications for Intelligent Computer-Assisted Language Learning Systems
(IOS Press, 2007-12)
This paper presents two new corpus-based studies of feedback in the domain of teaching Spanish as a foreign language, concentrating on the type and frequency of different feedback moves, as well as what happens in the ...
Priming of Syntactic Rules in Task-Oriented Dialogue and Spontaneous Conversation
Previous work provided corpus evidence for structural priming for specific syntactic constructions. The present paper extends these results by investigating priming effects involving arbitrary syntactic rules in spoken ...
Diagnosing natural language answers to support adaptive tutoring
Understanding answers to open-ended explanation questions is important in intelligent tutoring systems. Existing systems use natural language techniques in essay analysis, but revert to scripted interaction with short-answer ...