Summary of the paper

Title Aligning FrameNet and WordNet based on Semantic Neighborhoods
Authors Óscar Ferrández, Michael Ellsworth, Rafael Muñoz and Collin F. Baker
Abstract This paper presents an algorithm for aligning FrameNet lexical units to WordNetsynsets. Both, FrameNet and WordNet, are well-known as well as widely-usedresources by the entire research community. They help systems in thecomprehension of the semantics of texts, and therefore, finding strategies tolink FrameNet and WordNet involves challenges related to a better understandingof the human language. Such deep analysis is exploited by researchers toimprove the performance of their applications. The alignment is achieved byexploiting the particular characteristics of each lexical-semantic resource,with special emphasis on the explicit, formal semantic relations in each.Semantic neighborhoods are computed for each alignment of lemmas, and thealgorithm calculates correlation scores by comparing such neighborhoods. Theresults suggest that the proposed algorithm is appropriate for aligning theFrameNet and WordNet hierarchies. Furthermore, the algorithm can aid researchon increasing the coverage of FrameNet, building FrameNets in other languages,and creating a system for querying a joint FrameNet-WordNet hierarchy.
Language Semantics
Topics Lexicon, lexical database, LR Infrastructures and Architectures, Semantics
Full paper Aligning FrameNet and WordNet based on Semantic Neighborhoods
Bibtex @InProceedings{FERRNDEZ10.636,
  author = {Óscar Ferrández, Michael Ellsworth, Rafael Muñoz and Collin F. Baker},
  title = {Aligning FrameNet and WordNet based on Semantic Neighborhoods},
  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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