TAILIEUCHUNG - Báo cáo khoa học: "Scaling up from Dialogue to Multilogue: some principles and benchmarks"

The paper considers how to scale up dialogue protocols to multilogue, settings with multiple conversationalists. We extract two benchmarks to evaluate scaled up protocols based on the long distance resolution possibilities of nonsentential utterances in dialogue and multilogue in the British National Corpus. In light of these benchmarks, we then consider three possible transformations to dialogue protocols, formulated within an issue-based approach to dialogue management. We show that one such transformation yields protocols for querying and assertion that fulfill these benchmarks. . | Scaling up from Dialogue to Multilogue some principles and benchmarks Jonathan Ginzburg and Raquel Fernandez Dept of Computer Science King s College London The Strand London WC2R 2LS UK ginzburg raquel @ Abstract The paper considers how to scale up dialogue protocols to multilogue settings with multiple conversationalists. We extract two benchmarks to evaluate scaled up protocols based on the long distance resolution possibilities of non-sentential utterances in dialogue and multilogue in the British National Corpus. In light of these benchmarks we then consider three possible transformations to dialogue protocols formulated within an issue-based approach to dialogue management. We show that one such transformation yields protocols for querying and assertion that fulfill these benchmarks. 1 Introduction The development of dialogue systems in which a human agent interacts using natural language with a computational system is by now a flourishing domain see . NLE 2003 buttressed by an increasing theoretical and experimental literature on the properties of dialogue see . recent work in the SEMDIAL and SIGDIAL conferences . In contrast the development of multilogue systems in which conversation with 3 or more participants ensue is still in its early stages as is the theoretical and experimental study of multilogue. The fundamental issue in tackling multilogue is how can mechanisms motivated for dialogue . information states protocols update rules etc be scaled up to multilogue In this paper we extract from a conversational corpus the British National Corpus BNC several benchmarks that characterize dialogue and multilogue interaction. These are based on the resolution possibilities of non-sentential utterances NSUs . We then use these benchmarks to evaluate certain general transformations whose application to a dialogue interaction system yield a system appropriate for multilogue. There are of course various plausible views of the relation between

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