Segmentation and Clustering of Textual Sequences: a Typological Approach

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Ressource 1Télécharger: BIB_01C7B253DB80.P001.pdf (4717.27 [Ko])
Etat: Public
Version: de l'auteur⸱e
ID Serval
serval:BIB_01C7B253DB80
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Segmentation and Clustering of Textual Sequences: a Typological Approach
Titre de la conférence
Recent Advances in Natural Language Processing. International Conference (RANLP 8 : Hissar : 2011). Proceedings
Auteur⸱e⸱s
Cocco C., Pittier R., Bavaud F., Xanthos A.
Editeur
Incoma
Adresse
Shoumen
ISBN
1313-8502
Statut éditorial
Publié
Date de publication
2011
Peer-reviewed
Oui
Editeur⸱rice scientifique
Angelova G., Bontcheva K., Mitkov R., Nikolov N.
Pages
427-433
Langue
anglais
Résumé
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.
Mots-clé
fuzzy clustering, discourse types, part-of-speech distributions
Création de la notice
27/09/2011 15:23
Dernière modification de la notice
20/08/2019 12:24
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