Semi-automatic enrichment of crowdsourced synonymy networks: the WISIGOTH system applied to Wiktionary

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Semi-automatic enrichment of crowdsourced synonymy networks: the WISIGOTH system applied to Wiktionary is a 2011 journal article written in English by Franck Sajous, Emmanuel Navarro, Bruno Gaume, Laurent Prévot, Yannick Chudy and published in Language Resources and Evaluation.

[edit] Abstract

Semantic lexical resources are a mainstay of various Natural Language Processing applications. However, comprehensive and reliable resources are rare and not often freely available. Handcrafted resources are too costly for being a general solution while automatically-built resources need to be validated by experts or at least thoroughly evaluated. We propose in this paper a picture of the current situation with regard to lexical resources, their building and their evaluation. We give an in-depth description of Wiktionary, a freely available and collaboratively built multilingual dictionary. Wiktionary is presented here as a promising raw resource for NLP. We propose a semi-automatic approach based on random walks for enriching Wiktionary synonymy network that uses both endogenous and exogenous data. We take advantage of the wiki infrastructure to propose a validation “by crowds”. Finally, we present an implementation called WISIGOTH, which supports our approach.

[edit] References

This publication has 7 references. Only those references related to wikis are included here:

  • "Fatally Flawed: Refuting the Recent Study on Encyclopedic Accuracy by the Journal Nature" (create it!) [search]




  • "Worth its Weight in Gold or Yet Another Resource - A Comparative Study of Wiktionary, OpenThesaurus and GermaNet" (create it!) [search]


  • "Semi-automatic Endogenous Enrichment of Collaboratively Constructed Lexical Resources: Piggybacking onto Wiktionary" (create it!) [search]



  • "What’s the Difference? - Comparing Expert-Built and Collaboratively Built Lexical Semantic Resources" (create it!) [search]

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