Detection and resolution of references to meeting documents

Authors:
Andrei Popescu-Belis;Denis Lalanne
Affiliations:
School of Translation and Interpretation (ETI), TIM/ISSCO, University of Geneva, Geneva 4, Switzerland;Faculty of Science, University of Fribourg, Fribourg, Switzerland
Venue:
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
Year:
2005

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Abstract

This article describes a method for document/speech alignment based on explicit verbal references to documents and parts of documents, in the context of multimodal meetings. The article focuses on the two main stages of dialogue processing for alignment: the detection of the expressions referring to documents in transcribed speech, and the recognition of the documents and document elements that they refer to. The detailed evaluation of the implemented modules, first separately and then in a pipeline, shows that results are well above baseline values. The integration of this method with other techniques for document/speech alignment is finally discussed.