10th Annual Conference of the International Speech Communication Association

Brighton, United Kingdom
September 6-10, 2009

Detecting Subjectivity in Multiparty Speech

Gabriel Murray, Giuseppe Carenini

University of British Columbia, Canada

In this research we aim to detect subjective sentences in spontaneous speech and label them for polarity. We introduce a novel technique wherein subjective patterns are learned from both labeled and unlabeled data, using n-grams with varying levels of lexical instantiation. Applying this technique to meeting speech, we gain significant improvement over state-of-the-art approaches and demonstrate the methodís robustness to ASR errors. We also show that coupling the pattern-based approach with structural and lexical features of meetings yields additional improvement.

Full Paper

Bibliographic reference.  Murray, Gabriel / Carenini, Giuseppe (2009): "Detecting subjectivity in multiparty speech", In INTERSPEECH-2009, 2007-2010.