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.

Graph neural networks for materials science and chemistry

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

Swarm (Geomagnetic LEO Constellation) - eoPortal

Sequentially Selective Coalescence of Binary Self-Propelled Droplets upon Collective Motion

Correspondence analysis, spectral clustering and graph embedding: applications to ecology and economic complexity

The NSL complex is required for piRNA production from telomeric clusters

Examining the representation of landscape and its emotional value in German-Swiss fiction between 1840 and 1940

Open Physics

X-ray photoelectron spectroscopy of thin films

Iannis Xenakis: Architect, Composer, Visionary by The Drawing Center - Issuu

Comparative physiological anthropogeny: exploring molecular underpinnings of distinctly human phenotypes

WCBSSD Conference - World Academy of Art and Science