Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/lrec2008/papers/202> ?p ?o. }
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- 202 creator diego-de-cao.
- 202 creator marco-pennacchiotti.
- 202 creator paolo-marocco.
- 202 creator roberto-basili.
- 202 type InProceedings.
- 202 label "Towards a Vector Space Model for FrameNet-like Resources".
- 202 sameAs 202.
- 202 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.".
- 202 hasAuthorList authorList.
- 202 hasTopic Linguistics.
- 202 isPartOf proceedings.
- 202 keyword "Acquisition, Machine Learning".
- 202 keyword "Corpus (creation, annotation, etc.)".
- 202 keyword "Statistical methods".
- 202 title "Towards a Vector Space Model for FrameNet-like Resources".