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In this paper, we propose a one step rhetorical structure parsing, chunking and extractive summarization approach to automatically generate meeting minutes from parliamentary speech using acoustic and lexical features. We investigate how to use lexical features extracted from imperfect ASR transcriptions, together with acoustic features extracted from the speech itself, to form extractive summaries...
We show a novel approach of automatically generating minutes style extractive summaries for parliamentary speech. Minutes are structured summaries consisting of sequences of business items with sub-summaries. We propose to model minute structures as a rhetorical syntax tree. We also propose to use a single Conditional Random Field classifier to carry out the chunking and parsing of a parliamentary...
Extractive summarization of conference and lecture speech is useful for online learning and references. We show for the first time that deep(er) rhetorical parsing of conference speech is possible and helpful to extractive summarization task. This type of rhetorical structures is evident in the corresponding presentation slide structures. We propose using Hidden Markov SVM (HMSVM) to iteratively learn...
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