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- item-3 hasContent wolfgang-maier.
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- item-5 hasContent johannes-dellert.
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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".
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- item-1 hasContent marco-pennacchiotti.
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- 203 creator juan-aparicio.
- 203 creator m-antonia-marti.
- 203 creator mariona-taule.
- 203 type InProceedings.
- 203 label "AnCora-Verb: A Lexical Resource for the Semantic Annotation of Corpora".
- 203 sameAs 203.
- 203 abstract "In this paper we present two large-scale verbal lexicons, AnCora-Verb-Ca for Catalan and AnCora-Verb-Es for Spanish, which are the basis for the semantic annotation with arguments and thematic roles of AnCora corpora. In AnCora-Verb lexicons, the mapping between syntactic functions, arguments and thematic roles of each verbal predicate it is established taking into account the verbal semantic class and the diatheses alternations in which the predicate can participate. Each verbal predicate is related to one or more semantic classes basically differentiated according to the four event classes -accomplishments, achievements, states and activities-, and on the diatheses alternations in which a verb can occur. AnCora-Verb-Es contains a total of 1,965 different verbs corresponding to 3,671 senses and AnCora-Verb-Ca contains 2,151 verbs and 4,513 senses. These figures correspond to the total of 500,000 words contained in each corpus, AnCora-Ca and AnCora-Es. The lexicons and the annotated corpora constitute the richest linguistic resources of this kind freely available for Spanish and Catalan. The big amount of linguistic information contained in both resources should be of great interest for computational applications and linguistic studies. Currently, a consulting interface for these lexicons is available at (http://clic.ub.edu/ancora/).".
- 203 hasAuthorList authorList.
- 203 hasTopic Linguistics.
- 203 isPartOf proceedings.
- 203 keyword "LR Infrastructures and Architectures".
- 203 keyword "Lexicon, lexical database".
- 203 keyword "Semantics".
- 203 title "AnCora-Verb: A Lexical Resource for the Semantic Annotation of Corpora".
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- item-1 hasContent juan-aparicio.
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- 204 creator claus-zinn.
- 204 creator jacquelijn-ringersma.
- 204 creator marc-kemps-snijders.
- 204 creator menzo-windhouwer.
- 204 type InProceedings.
- 204 label "Ensuring Semantic Interoperability on Lexical Resources".
- 204 sameAs 204.
- 204 abstract "In this paper, we describe a unifying approach to tackle data heterogeneity issues for lexica and related resources. We present LEXUS, our software that implements the Lexical Markup Framework (LMF) to uniformly describe and manage lexica of different structures. LEXUS also makes use of a central Data Category Registry (DCR) to address terminological issues with regard to linguistic concepts as well as the handling of working and object languages. Finally, we report on ViCoS, a LEXUS extension, providing support for the definition of arbitrary semantic relations between lexical entries or parts thereof.".
- 204 hasAuthorList authorList.
- 204 hasTopic Linguistics.
- 204 isPartOf proceedings.
- 204 keyword "Knowledge representation".
- 204 keyword "Lexicon, lexical database".
- 204 keyword "Tools, systems, applications".
- 204 title "Ensuring Semantic Interoperability on Lexical Resources".
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