Paper: Contrasting Syntagmatic and Paradigmatic Relations: Insights from Distributional Semantic Models

ACL ID S14-1020
Title Contrasting Syntagmatic and Paradigmatic Relations: Insights from Distributional Semantic Models
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

This paper presents a large-scale evalua- tion of bag-of-words distributional models on two datasets from priming experiments involving syntagmatic and paradigmatic relations. We interpret the variation in performance achieved by different settings of the model parameters as an indication of which aspects of distributional patterns characterize these types of relations. Con- trary to what has been argued in the litera- ture (Rapp, 2002; Sahlgren, 2006) ? that bag-of-words models based on second- order statistics mainly capture paradig- matic relations and that syntagmatic rela- tions need to be gathered from first-order models ? we show that second-order mod- els perform well on both paradigmatic and syntagmatic relations if their parameters are properly tuned. In particular, our re- sults...