Applying a lightweight iterative merging chinese segmentation in web image annotation
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
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In this paper we address the problem of segmenting (and summarizing) a text by Formal Concept Analysis (FCA) using Lexical Chains established for the text. The first proposed method relies on the Conceptual hierarchy (Concept lattice) derived for a formal context expressing the map of Lexical Chains to the text. The second one offers a conceptual view for a segmentation, using a conceptual clustering of sentences. At least at our knowledge there are not previous attempts to solve the segmentation (and the summarization) of a text by FCA.