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.

Development of electricity consumption profiles of residential buildings based on smart meter data clustering - ScienceDirect

Resolution of Electronic States in Heisenberg Cluster Models within the Unitary Group Approach

ISMIP-HOM benchmark experiments using Underworld - GMD

Word Segmentation Cues in German Child-Directed Speech: A Corpus Analysis - Katja Stärk, Evan Kidd, Rebecca L. A. Frost, 2022

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

Frontiers Plasticity of Membrane Binding by the Central Region of α-Synuclein

Dynamical consequences of regional heterogeneity in the brain's transcriptional landscape

Unveiling the neurotechnology landscape: scientific advancements innovations and major trends

Full article: Interatomic potentials: achievements and challenges

Astronomers Get Their Wish, and a Cosmic Crisis Gets Worse