Then, we use these posterior probabilities as a threshold to identify the boundaries of thematic episodes via support vector classification (Georgescul et al., 2006).
we consider the topic segmentation task as a binary-classification problem, where each utterance should be classified as marking the presence or the absence of a topic shift in the dialogue.