Text Segments as Constrained Formal Concepts

Tatar, Doina; Kapetanios, Epaminondas; Săcărea, Christian; Tanase, Diana

doi:10.1109/synasc.2010.13

Cited by 4 publications

(2 citation statements)

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“…In linear segmentation the discourse is divided into a linear sequence of adjacent segments ( [8] or this paper) while in hierarchical segmentation there are hierarchically organized sets of segments, as for example attentional/intentional structures of Grosz and Sidner ( [7]), rhetorical trees in RST theory ( [10]) or attentional stacks in [1]. Recently a new method of linear segmentation has been proposed in [16] which uses a kind of complementing set of formal concepts in concept lattice of a given formal context.…”

Section: Related Work In Segmentationmentioning

confidence: 99%

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Learning Taxonomy for Text Segmentation by Formal Concept Analysis

Lupea,

Tatar,

Marian

2010

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In this paper the problems of deriving a taxonomy from a text and concept-oriented text segmentation are approached. Formal Concept Analysis (FCA) method is applied to solve both of these linguistic problems. The proposed segmentation method offers a conceptual view for text segmentation, using a context-driven clustering of sentences. The Concept-oriented Clustering Segmentation algorithm (COCS) is based on k-means linear clustering of the sentences. Experimental results obtained using COCS algorithm are presented.

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Section: Related Work In Segmentationmentioning

confidence: 99%

“…Segmenting a text must be associated with an explanation of why a given set of segments is produced. All these could be realized by viewing the process of segmentation as a clustering process of the sentences of a text [16].…”

Section: Concept-oriented Segmentation By Clusteringmentioning

confidence: 99%