PDF] Graph-based Clustering of Synonym Senses for German Particle

This paper incorporates a graph-based clustering approach for word sense discrimination into an existing paraphrase extraction system to improve the precision of synonym identification and ranking, and to enlarge the diversity ofsynonym senses. In this paper, we address the automatic induction of synonym paraphrases for the empirically challenging class of German particle verbs. Similarly to Cocos and Callison-Burch (2016), we incorporate a graph-based clustering approach for word sense discrimination into an existing paraphrase extraction system, (i) to improve the precision of synonym identification and ranking, and (ii) to enlarge the diversity of synonym senses. Our approach significantly improves over the standard system, but does not outperform an extended baseline integrating a simple distributional similarity measure.

Spatial detection and hierarchy analysis of large-scale particle clusters in wall-bounded turbulence, Journal of Fluid Mechanics

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PDF) Exploring Soft-Clustering for German (Particle) Verbs across Frequency Ranges

Strategies for EELS Data Analysis. Introducing UMAP and HDBSCAN for Dimensionality Reduction and Clustering, Microscopy and Microanalysis

Open Physics

Chameleon 2: An Improved Graph-Based Clustering Algorithm

PDF] Graph-based Clustering of Synonym Senses for German Particle Verbs

PDF) Graph-based Clustering of Synonym Senses for German Particle Verbs

Clustering and graph mining techniques for classification of complex structural variations in cancer genomes

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WCBSSD Conference - World Academy of Art and Science

Spectral Clustering. Foundation and Application, by William Fleshman

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