Sep 26, 1997 · Abstract: We propose a method for segmentation of expository texts based on hierarchical agglomerative clustering.
This paper presents an agglomerative sentence clustering approach for text segmentation based on nouns. This method considers both cohesion and coherence ...
Abstract. We propose a method for segmentation of ex- pository texts based on hierarchical agglomera- tive clustering. The method uses paragraphs as.
Abstract. Exploring expository texts presents an interest- ing and important challenge. They are read routinely and extensively in the form of online.
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We propose a method for segmentation of expository texts based on hierarchical agglomerative clustering. The method uses paragraphs as the basic segments for ...
Abstract. Hierarchical Text Segmentation is the task of building a hierarchical structure out of text to reflect its sub-topic hierarchy. Current text.
This thesis proposes a semi-statistical method to automatically partition a stream of text into coherent segments using product partition models (Barry and ...
In this paper, we use Barry and Hartigan's Product Partition Models to formulate text segmentation as an optimization problem, which we solve by a fast ...
Jan 6, 2021 · Yaari (1997) proposed one of the first approaches for hierarchical text segmentation: a supervised agglomerative bottom-up clustering method ...
We present a hierarchical topical segmenter for free text. Hierarchical Affinity Propagation for. Segmentation (HAPS) is derived from a clustering algorithm ...