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Learning Taxonomy for Text Segmentation by Formal Concept Analysis ...
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Abstract:
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. ... : Presented at Synasc 2010, Timisoara, Romania ...
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Keyword:
68T50, 03H65; Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1010.2384 https://arxiv.org/abs/1010.2384
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Textual Entailment Recognizing by Theorem Proving Approach ...
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A chain dictionary method for Word Sense Disambiguation and applications ...
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An Evaluation Exercise for Romanian Word Sense Disambiguation
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In: Third Annual Association for Computational Linguistics Special Interest Group on the Lexicon (ACL/SIGLEX), 2004, Barcelona, Spain (2004)
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