Paper: Measuring Similarity from Word Pair Matrices with Syntagmatic and Paradigmatic Associations

ACL ID W14-4712
Title Measuring Similarity from Word Pair Matrices with Syntagmatic and Paradigmatic Associations
Venue Workshop on Cognitive Aspects of the Lexicon
Session
Year 2014
Authors

Two types of semantic similarity are usually distinguished: attributional and relational similari- ties. These similarities measure the degree between words or word pairs. Attributional similar- ities are bidrectional, while relational similarities are one-directional. It is possible to compute such similarities based on the occurrences of words in actual sentences. Inside sentences, syn- tagmatic associations and paradigmatic associations can be used to characterize the relations between words or word pairs. In this paper, we propose a vector space model built from syn- tagmatic and paradigmatic associations to measure relational similarity between word pairs from the sentences contained in a small corpus. We conduct two experiments with different datasets: SemEval-2012 task 2, and 400 wo...