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lexical, cohesion-based, approach 1
(32.0 per million)
tech,28-5-E06-1035,ak
<term>
subtopic boundaries
</term>
, the
<term>
lexical cohesion-based approach
</term>
alone can achieve competitive results
#11491Examination 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.