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

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Descrição

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