Wiktionary and NLP: Improving synonymy networks

Emmanuel Navarro, Franck Sajous Bruno Gaume, Laurent Prévot, ShuKai Hsieh, Ivy Kuo, Pierre Magistry, Chu-Ren Huang 2009 Proceedings of the ACL-IJCNLP Workshop on The People's Web Meets NLP: Collaboratively Constructed Semantic Resources Iryna Gurevych and Torsten Zesch Singapore 19-27 Association for Computational Linguistics E.Navarro, F. Sajous, B. Gaume, L. Prévot, ShuKai Hsieh, Ivy Kuo, Pierre Magistry and Chu-Ren Huang (2009). Wiktionary and NLP: Improving synonymy networks. In: I. Gurevych and T. Zesch (eds), Proceedings of the ACL-IJCNLP Workshop on The People's Web Meets NLP: Collaboratively Constructed Semantic Resources, Singapore, pp. 19-27. [ PDF article ] Wiktionary, a satellite of the Wikipedia initiative, can be seen as a potential resource for Natural Language Processing. It requires however to be processed before being used efficiently as an NLP resource. After describing the relevant aspects of Wiktionary for our purposes, we focus on its structural properties. Then, we describe how we extracted synonymy networks from this resource. We provide an in-depth study of these synonymy networks and compare them to those extracted from traditional resources. Finally, we describe two methods for semi-automatically improving this network by adding missing relations: (i) using a kind of semantic proximity measure; (ii) using translation relations of Wiktionary itself [ .bib ]