Resultados de investigación

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We present a set of Spanish gold-standards for different noun classes created in PANACEA to train and test automatic classifiers. To create these gold-standards we used the Spanish working lexicon of the Incyta Machine Translation system (Alonso and Bocsák, 2005) to create the abstract, human, location, process, artifact, matter, semiotic and social gold-standard lists. The gold standard for event nouns (non-deverbal eventive nouns) was developed for the experiments of Bel et al. (2010). These gold-standards were created in the context of PANACEA (http://www.panacea-lr.eu), an EU-FP7 Funded Project under Grant Agreement 248064.

This is a domain-specific lexicon for Spanish for environment (ENV) domain. This lexicon contain both, subcategorization frames for verbs and lexical semantic classes for nouns. This lexicon has been automatically created using PANACEA webservices using crawled data.

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PANACEA Annotated Spanish Labour Legislation Corpus Version 2 consists of Spanish texts in the Labour legislation (LAB) domain that were collected and automatically annotated in the framework of PANACEA (http://www.panacea-lr.eu), an EU-FP7 Funded Project under Grant Agreement 248064. The texts were crawled web pages that were automatically detected to be in the Spanish language and were automatically classified as relevant to the LAB domain. Data collection took place in the summer of 2011. The automatically assigned annotations deal with sentence and token segmentation, POS and lemma, dependency relations and named entities.

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This is a domain-specific lexicon of for English for labour (LAB) domain. This lexicon contains a set of nouns classified into seven different semantic classes. It has been automatically created using the PANACEA web services for noun classification and the crawled data for this domain and language, previously annotated with FreeLing tagger. The crawled data was obtained crawling web pages that were automatically detected to be in the English language and were automatically classified as relevant to the LAB domain. Data collection took place in the summer of 2011.

This is a domain-specific lexicon for English for environment (ENV) domain. This lexicon contain both, subcategorization frames for verbs and lexical semantic classes for nouns. This lexicon has been automatically created using PANACEA webservices using crawled data. The crawled data was obtained crawling web pages that were automatically detected to be in the English language and were automatically classified as relevant to the ENV domain. Data collection took place in the summer of 2011.