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Tools and methods for objective or contextual evaluation of topic segmentation

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Figure 1: Segeval : graphical comparison between referenced and hypothesised boundaries computed with varying parameters of LIA_topic_seg on one text. One may select two segmentations for a text comparison as shown on figure 2

Figure 2: Segeval : comparison between an automatic segmentation with LIA_topic_seg and the reference. The small vertical lines on the central sliders give an overview of the boundaries in the text and offer a quick navigation system from one boundary to another.

a linear representation as shown in figure 1 is available. Then a comparison can be made between two segmenta-tions and an in depth analysis can be made as in figure 2. It allows a qualitative evaluation of the differences. Also, Segeval allows a comparison (based on the average

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Figure 3: Human Interface of our Lucene based search engine that uses segments instead of whole documents for the indexation as long as for results printing. The results are ordered by relevance in the middle of the window, and by one click on a title the corresponding segment appear on the left, with words from the query highlighted.

important information and gives the user the possibility to not read the whole document.

The main graphical interface is presented in figure 3. The answer is focused on the target segment (the most similar according to the query) and there is an access to the original document wih the page-setting using the segmentation of the whole document.

In this context, additional boundaries do not decrease read-ability even if both created segments deal with the same topic. On the contrary, if two segments with totally differ-ent topics are merged, it is confusing for the reader.

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Conclusion

The currently used framework of evaluation of the segmen-tation tools is reliable but not adapted to many uses of topic segmentation. We proposed new ways of evaluating tasks like clustering, improving readability, and retrieving infor-mation. We have developped two graphical interfaces for two contexts of segmentation tools evaluation. One was for an intrinsec comparison, the other one was dedicated to an evaluation in an information retrieval context. These tools will be very soon distributed under GPL licences on the Technolangue project web page.

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References

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Figure

Figure 1: Segeval : graphical comparison between referenced and hypothesised boundaries computed with varying parameters ofLIA_topic_seg on one text
Table 2 shows that results are lower than without segmenta-tion. It can be explained by the fact that additional bound-aries may split information
Figure 3: Human Interface of our Lucene based search engine that uses segments instead of whole documents for the indexation as longas for results printing

References

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