Summary of the paper

Title Extensive Evaluation of a FrameNet-WordNet mapping resource
Authors Diego De Cao, Danilo Croce and Roberto Basili
Abstract Lexical resources are basic components of many text processing system devotedto information extraction, question answering or dialogue. In paste years manyresources have been developed such as FrameNet and WordNet. FrameNet describesprototypical situations (i.e. Frames) while WordNet defines lexical meaning(senses) for the majority of English nouns, verbs, adjectives and adverbs. Amajor difference between FrameNet and WordNet refers to their coverage. Due ofthis lack of coverage, in recent years some approaches have been studied tomake a bridge between this two resources, so a resource is used to extend thecoverage of the other one. The nature of these approaches leave from supervisedto supervised methods. The major problem is that there is not a standard inevaluation of the mapping. Each different work have tested own approach with acustom gold standard. This work give an extensive evaluation of the modelproposed in (De Cao et al., 2008) using gold standard proposed in other works.Moreover this work give an empirical comparison between other availableresources. As outcome of this work we also release the full mapping resourcemade according to the model proposed in (De Cao et al., 2008).
Language Statistical and machine learning methods
Topics Lexicon, lexical database, Validation of LRs, Statistical and machine learning methods
Full paper Extensive Evaluation of a FrameNet-WordNet mapping resource
Bibtex @InProceedings{DECAO10.773,
  author = {Diego De Cao, Danilo Croce and Roberto Basili},
  title = {Extensive Evaluation of a FrameNet-WordNet mapping resource},
  booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
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