Detecting Sub-Topic Correspondence through Bipartite Term Clustering

2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/33266This paper addresses a novel task of detecting sub-topic correspondence in a pair of text fragments, enhancing common notions of text similarity. This task is addressed by coupling corresponding term subsets through bipartite clustering. The paper presents a cost-based clustering scheme and compares it with a bipartite version of the single-link method, providing illustrating results.html with 3 gif figures; generated from 7 pages MS-Word fileComputation and LanguageI.2.6, I.2.7, H.3.1Detecting Sub-Topic Correspondence through Bipartite Term Clusteringtext