Semi-automatic Endogenous Enrichment of Collaboratively Constructed Lexical Resources: Piggybacking onto Wiktionary

Emmanuel Navarro, Franck Sajous Bruno Gaume, Laurent Prévot, and Yannick Chudy 2010 Advances in Natural Language Processing - Proceedings of the 7th International Conference on NLP (IceTAL 2010) Lecture Notes in Computer Science 6233 H. Loftsson, E. Rögnvaldsson, S. Helgadóttir Springer Berlin, Heidelberg 332-344 978-3-642-14770-8 10.1007/978-3-642-14770-8_37 E.Navarro, F. Sajous, B. Gaume, L. Prévot and Y. Chudy. Semi-automatic Endogenous Enrichment of Collaboratively Constructed Lexical Resources: Piggybacking onto Wiktionary In: H. Loftsson, E. Rögnvaldsson, S. Helgadóttir (eds). Proceedings of the 7th International Conference on NLP (IceTAL 2010): Advances in Natural Language Processing, Lecture Notes in Computer Science, vol 6233, pp. 332-344. Springer, Berlin/Heidelberg. Authors version ] Collaboratively Constructed Lexical Resources, Endogenous Enrichment, Crowdsourcing, Wiktionary, Random Walks The lack of large-scale, freely available and durable lexical resources, and the consequences for NLP, is widely acknowledged but the attempts to cope with usual bottlenecks preventing their development often result in dead-ends. This article introduces a language-independent, semi-automatic and endogenous method for enriching lexical resources, based on collaborative editing and random walks through existing lexical relationships, and shows how this approach enables us to overcome recurrent impediments. It compares the impact of using different data sources and similarity measures on the task of improving synonymy networks. Finally, it defines an architecture for applying the presented method to Wiktionary and explains how it has been implemented. .bib ]