Segmentation and Clustering of Textual Sequences: a Typological Approach

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2011

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info:eu-repo/semantics/openAccess , Copying allowed only for non-profit organizations , https://serval.unil.ch/disclaimer


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fuzzy clustering; discourse types; part-of-speech distributions


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C. Cocco et al., « Segmentation and Clustering of Textual Sequences: a Typological Approach », Serveur académique Lausannois, ID : 10670/1.qohfoa


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The long term goal of this research is to develop a program able to produce an automatic segmentation and categorization of textual sequences into discourse types. In this preliminary contribution, we present the construction of an algorithm which takes a segmented text as input and attempts to produce a categorization of sequences, such as narrative, argumentative, descriptive and so on. Also, this work aims at investigating a possible convergence between the typological approach developed in particular in the field of text and discourse analysis in French by Adam (2008) and Bronckart (1997) and unsupervised statistical learning.

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