PDF] Graph-based Clustering of Synonym Senses for German Particle
Por um escritor misterioso
Last updated 10 maio 2024
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.
PDF] Graph-based Clustering of Synonym Senses for German Particle Verbs
A graph-based clustering method with special focus on hyperspectral imaging - ScienceDirect
Understanding MOF Flexibility: An Analysis Focused on Pillared Layer MOFs as a Model System - Senkovska - 2023 - Angewandte Chemie International Edition - Wiley Online Library
PDF) Exploring Soft-Clustering for German (Particle) Verbs across Frequency Ranges
Graph-based Clustering of Synonym Senses for German Particle Verbs
Nonlinear Engineering
Clustering and graph mining techniques for classification of complex structural variations in cancer genomes
THEMIS
Chameleon 2: An Improved Graph-Based Clustering Algorithm
Mechanics, Definition, Examples, Laws, & Facts
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