| other,70-5-E06-1035,ak | such as <term> cue phrases </term> and <term> | overlapping speech | </term> , are better indicators for the <term> | #11533 Examination of the effect of features shows that predicting top-level and predicting subtopic boundaries are two distinct tasks: (1) for predicting subtopic boundaries, the lexical cohesion-based approach alone can achieve competitive results, (2) for predicting top-level boundaries, the machine learning approach that combines lexical-cohesion and conversational features performs best, and (3) conversational cues, such as cue phrases and overlapping speech , are better indicators for the top-level prediction task. |
