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» Dialog Learning in Conversational CBR
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FLAIRS
2006
13 years 6 months ago
Dialog Learning in Conversational CBR
Conversational Case-Based Reasoning (CCBR) provides a mixed-initiative dialog for guiding users to refine their problem descriptions incrementally through a question-answering seq...
Mingyang Gu, Agnar Aamodt
IRI
2005
IEEE
13 years 10 months ago
Comparing similarity calculation methods in conversational CBR
Abstract— Conversational Case-Based-Reasoning (CCBR) provides a mixed-initiative dialog for guiding users to construct their problem description incrementally through a question-...
Mingyang Gu, Xin Tong, Agnar Aamodt
ICASSP
2011
IEEE
12 years 8 months ago
Simultaneous dialog act segmentation and classification from human-human spoken conversations
An accurate identification dialog acts (DAs), which represent the illocutionary aspect of communication, is essential to support the understanding of human conversations. This re...
Silvia Quarteroni, Alexei V. Ivanov, Giuseppe Ricc...
FLAIRS
2008
13 years 7 months ago
Analyzing Dialog Coherence Using Transition Patterns in Lexical and Semantic Features
In this paper, we present methods to analyze dialog coherence that help us to automatically distinguish between coherent and incoherent conversations. We build a machine learning ...
Amruta Purandare, Diane J. Litman
IJMMS
2006
90views more  IJMMS 2006»
13 years 4 months ago
Evaluating mass knowledge acquisition using the ALICE chatterbot: The AZ-ALICE dialog system
In this paper, we evaluate mass knowledge acquisition using modified ALICE chatterbots. In particular we investigate the potential of allowing subjects to modify chatterbot respon...
Robert P. Schumaker, Ying Liu, Mark Ginsburg, Hsin...