By Manfred Stede

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2. TOPIC-BASED SEGMENTATION 19 As an alternative evaluation metric, Beeferman et al. [1999] suggest to move a window across the text, stepping from one sentence to the next, and, for each pair of sentences constructed from the two ends of the window, to count whether they are correctly placed in the same segment or not. That is, the placement of the pair as assigned by the algorithm (same segment or different segments) is compared to the pair in the gold standard, and for each disagreement, a counter is increased by one.

8 The most prominent ones are the following: • Connectives: Jim went over to the garage. And then the door opened. , but, still) connectives create strong cohesive ties. ) • Word repetition: Jim went over to the garage. What does he need a garage for, anyway? When the same word shows up again in the text, this creates a cohesive link and can be interpreted as topic continuity. • Related words: Jim went over to the garage. He opened the door slowly. While repetition amounts to the identity relation between two words, other important relations that create lexical cohesion are synonymy, hyponymy (the meaning of one word subsumes that of another), or meronymy (part-whole), as in the example just given.

1999] suggest to move a window across the text, stepping from one sentence to the next, and, for each pair of sentences constructed from the two ends of the window, to count whether they are correctly placed in the same segment or not. That is, the placement of the pair as assigned by the algorithm (same segment or different segments) is compared to the pair in the gold standard, and for each disagreement, a counter is increased by one. As window size, the authors suggest half of the average length of the segments in the corpus.

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