NAACL HLT 2010: Demonstrations
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This paper is about interpreting human com-munication in meetings using audio, video andother signals. Automatic meeting recognitionand understanding is extremely challenging,since communication in a meeting is sponta-neous and conversational, and involves mul-tiple speakers and multiple modalities. Thisleads to a number of significant research prob-lems in signal processing, in speech recog-nition, and in discourse interpretation, tak-ing account of both individual and group be-haviours. Addressing these problems requiresan interdisciplinary effort. In this paper, Idiscuss the capture and annotation of multi-modal meeting recordings—resulting in theAMI meeting corpus—and how we have builton this to develop techniques and applicationsfor the recognition and interpretation of meet-ings.
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NAACL HLT 2010: Demonstrations
Active learning is a promising method to reduce human’s effort for data annotation in different NLP applications. Since it is an iterative task, it should be stopped at some point which is optimum or near-optimum. In this paper we propose a novel stopping criterion for active learning of frame assignment based on the variability of the classifier’s confidence score on the unlabeled data. The im...
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Evaluation Metrics for the Lexical Substitution Task
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تاریخ انتشار 2010