_collocation-classification-with-unsupervised-relation-vectors.jpg "Collocation Classification with Unsupervised Relation Vectors from addition of vectors Video Screenshot Preview")
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⏲ Duration: 5 min 95 sec
✓ Published: 17-Jan-2020
✓ Published: 17-Jan-2020
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Authors: Luis Espinosa Anke, Steven Schockaert, Leo WannernnLexical relation classification is the task of predicting whether a certain relation holds between a given pair of words. In this paper, we explore to which extent the current distributional landscape based on word embeddings provides a suitable basis for classification of collocations, i.e., pairs of words between which idiosyncratic lexical relations hold. First, we introduce a novel dataset with collocations categorized according t
Authors: Luis Espinosa Anke, Steven Schockaert, Leo WannernnLexical relation classification is the task of predicting whether a certain relation holds between a given pair of words. In this paper, we explore to which extent the current distributional landscape based on word embeddings provides a suitable basis for classification of collocations, i.e., pairs of words between which idiosyncratic lexical relations hold. First, we introduce a novel dataset with collocations categorized according t
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