ISCA Archive Interspeech 2009
ISCA Archive Interspeech 2009

Detecting subjectivity in multiparty speech

Gabriel Murray, Giuseppe Carenini

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 methodÂ’s robustness to ASR errors. We also show that coupling the pattern-based approach with structural and lexical features of meetings yields additional improvement.

doi: 10.21437/Interspeech.2009-578

Cite as: Murray, G., Carenini, G. (2009) Detecting subjectivity in multiparty speech. Proc. Interspeech 2009, 2007-2010, doi: 10.21437/Interspeech.2009-578

  author={Gabriel Murray and Giuseppe Carenini},
  title={{Detecting subjectivity in multiparty speech}},
  booktitle={Proc. Interspeech 2009},