5 research outputs found
PARADISE: A Framework for Evaluating Spoken Dialogue Agents
This paper presents PARADISE (PARAdigm for DIalogue System Evaluation), a
general framework for evaluating spoken dialogue agents. The framework
decouples task requirements from an agent's dialogue behaviors, supports
comparisons among dialogue strategies, enables the calculation of performance
over subdialogues and whole dialogues, specifies the relative contribution of
various factors to performance, and makes it possible to compare agents
performing different tasks by normalizing for task complexity.Comment: 10 pages, uses aclap, psfig, lingmacros, time
Empirical Studies in Discourse
Introduction Computationaltheories of discourse are concerned with the context-based interpretation or generation of discourse phenomena in text and dialogue. In the past, research in this area focused on specifying the mechanismsunderlying particular discourse phenomena; the models proposed were often motivated by a few constructed examples. While this approach led to many theoretical advances, models developed in this manner are difficult to evaluate because it is hard to tell whether they generalize beyond the particular examples used to motivate them. Recently however the field has turned to issues of robustness and the coverage of theories of particular phenomena with respect to specific types of data. This new empirical focus is supported by several recent advances: an increasing theoretical consensus on discourse models; a large amount of online dialogue and textual corpora available; and improvements in component technologies and tools for building and testing discours
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The Challenge of Spoken Language Systems: Research Directions for the Nineties
A spoken language system combines speech recognition, natural language processing and human interface technology. It functions by recognizing the person's words, interpreting the sequence of words to obtain a meaning in terms of the application, and providing an appropriate response back to the user. Potential applications of spoken language systems range from simple tasks, such as retrieving information from an existing database (traffic reports, airline schedules), to interactive problem solving tasks involving complex planning and reasoning (travel planning, traffic routing), to support for multilingual interactions. We examine eight key areas in which basic research is needed to produce spoken language systems: (1) robust speech recognition; (2) automatic training and adaptation; (3) spontaneous speech; (4) dialogue models; (5) natural language response generation; (6) speech synthesis and speech generation; (7) multilingual systems; and (8) interactive multimodal systems. In each area, we identify key research challenges, the infrastructure needed to support research, and the expected benefits. We conclude by reviewing the need for multidisciplinary research, for development of shared corpora and related resources, for computational support and far rapid communication among researchers. The successful development of this technology will increase accessibility of computers to a wide range of users, will facilitate multinational communication and trade, and will create new research specialties and jobs in this rapidly expanding area
Recommended from our members
The Challenge of Spoken Language Systems: Research Directions for the Nineties
A spoken language system combines speech recognition, natural language processing and human interface technology. It functions by recognizing the person's words, interpreting the sequence of words to obtain a meaning in terms of the application, and providing an appropriate response back to the user. Potential applications of spoken language systems range from simple tasks, such as retrieving information from an existing database (traffic reports, airline schedules), to interactive problem solving tasks involving complex planning and reasoning (travel planning, traffic routing), to support for multilingual interactions. We examine eight key areas in which basic research is needed to produce spoken language systems: (1) robust speech recognition; (2) automatic training and adaptation; (3) spontaneous speech; (4) dialogue models; (5) natural language response generation; (6) speech synthesis and speech generation; (7) multilingual systems; and (8) interactive multimodal systems. In each area, we identify key research challenges, the infrastructure needed to support research, and the expected benefits. We conclude by reviewing the need for multidisciplinary research, for development of shared corpora and related resources, for computational support and far rapid communication among researchers. The successful development of this technology will increase accessibility of computers to a wide range of users, will facilitate multinational communication and trade, and will create new research specialties and jobs in this rapidly expanding area
Toward effective conversational messaging
Thesis (M.S.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1995.Includes bibliographical references (leaves 118-123).Matthew Talin Marx.M.S