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We present V-measure, an external entropy-based cluster evaluation measure. V-measure provides an elegant solution to many problems that affect previously defined cluster evaluation measures including 1) dependence on clustering algorithm or data set, 2) the " problem of matching " , where the clustering of only a portion of data points are evaluated and 3)(More)
Cue phrases are linguistic expressions such as now and well that function as explicit indicators of the structure of a discourse. For example, now may signal the beginning of a subtopic or a return to a previous topic, while well may mark subsequent material as a response to prior material, or as an explanatory comment. However, while cue phrases may convey(More)
This paper reports on corpus-based research into the relationship between intonational variation and discourse structure. We examine the effects of speaking style (read versus spontaneous) and of discourse segmentation method (text-alone versus text-and-speech) on the nature of this relationship. We also compare the acoustic-prosodic features of initial,(More)
We describe a statistical approach for modeling agreements and disagreements in conversational interaction. Our approach first identifies adjacency pairs using maximum entropy ranking based on a set of lexical, durational, and structural features that look both forward and backward in the discourse. We then classify utterances as agreement or disagreement(More)
Identifying the regularities underlying speaker decisions to emphasize or de-emphasize an item intona-tionally has long been the subject of speculation and controversy. This paper describes a study of accent assignment based upon the analysis of natural recorded (read) speech. Results are being incorporated in NewSpeak, an interface to the Bell Laboratories(More)
The occurrence of disfluencies in fully natural speech poses difficult challenges for spoken language understanding systems. For example, although self-repairs occur in about 10% of spontaneous utterances, they are often unmodeled in speech recognition systems. This is partly due to the fact that little is known about the extent to which cues in the speech(More)