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Linking transcribed conversational speech
Author(s) -
Joseph Malionek,
Douglas W. Oard,
Abhijeet Sangwan,
John H. L. Hansen
Publication year - 2013
Publication title -
proceedings of the 45th international acm sigir conference on research and development in information retrieval
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2484028.2484136
Subject(s) - computer science , task (project management) , window (computing) , natural language processing , indirect speech , simple (philosophy) , speech recognition , linguistics , world wide web , engineering , philosophy , systems engineering , epistemology
As large collections of historically significant recorded speech become increasingly available, scholars are faced with the challenge of making sense of what they hear. This paper proposes automatically linking conversational speech to related resources as one way of supporting that sense-making task. Experiment results with transcribed conversations suggest that this kind of linking has promise for helping to contextualize recordings of detail-oriented conversations, and that simple sliding-window bag-of-words techniques can identify some useful links.

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