Summary of the paper

Title Towards a Vector Space Model for FrameNet-like Resources
Authors Marco Pennacchiotti, Diego De Cao, Paolo Marocco and Roberto Basili
Abstract In this paper, we present an original framework to model frame semantic resources (namely, FrameNet) using minimal supervision. This framework can be leveraged both to expand an existing FrameNet with new knowledge, and to induce a FrameNet in a new language. Our hypothesis is that a frame semantic resource can be modeled and represented by a suitable semantic space model. The intuition is that semantic spaces are an effective model of the notion of “being characteristic of a frame” for both lexical elements and full sentences. The paper gives two main contributions. First, it shows that our hypothesis is valid and can be successfully implemented. Second, it explores different types of semantic VSMs, outlining which one is more suitable for representing a frame semantic resource. In the paper, VSMs are used for modeling the linguistic core of a frame, the lexical units. Indeed, if the hypothesis is verified for these units, the proposed framework has a much wider application.
Language Language-independent
Topics Corpus (creation, annotation, etc.), Statistical methods, Acquisition, Machine Learning
Full paper Towards a Vector Space Model for FrameNet-like Resources
Slides Towards a Vector Space Model for FrameNet-like Resources
Bibtex @InProceedings{PENNACCHIOTTI08.202,
  author = {Marco Pennacchiotti, Diego De Cao, Paolo Marocco and Roberto Basili},
  title = {Towards a Vector Space Model for FrameNet-like Resources},
  booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
  year = {2008},
  month = {may},
  date = {28-30},
  address = {Marrakech, Morocco},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-4-0},
  note = {http://www.lrec-conf.org/proceedings/lrec2008/},
  language = {english}
  }

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