VerbNet.Br: construção semiautomática de um léxico verbal online e independente de domínio para o português do Brasil

Scarton, Carolina

doi:10.11606/d.55.2013.tde-19042013-160640

Cited by 6 publications

(13 citation statements)

References 25 publications

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“…One motivation for a new linguistic resource is the low existence of linguistic resources with large-scale inferentialist semantic knowledge for the Portuguese language. Lexical-semantic bases in Portuguese, for example, WordNet.Pt [17], WordNet.Br [32], VerbNet-Br [30] and Propbank-Br [11] are already available, and a commonsense base for Brazilian Portuguese-OMCS-Br-contains 250,000 common-sense relations. InferenceNet represents an evolution, because in addition to expressing around 700,000 common-sense relationships about concepts, these relations are qualified in terms of conditions of use of the concepts, allowing better and richer inferences from texts [25,28].…”

Section: A Knowledge Common Sense and Inferentialist Semantic Base-inmentioning

confidence: 99%

A semi-automated method for acquisition of common-sense and inferentialist knowledge

et al. 2012

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This paper presents a semi-automated method for the acquisition of common-sense and inferentialist concepts in Portuguese. Its innovative feature is a module of reasoning over the pre-existing knowledge that aims to offer original content to the user, helping in the expression of semantic relationships and validation of new concepts. This reasoning process is based on heuristics and syntactic analysis of noun phrases. A qualitative evaluation with users who interacted with the system built on the proposed method showed that the interactions made in the process of knowledge acquisition are more productive since the user is reminded about semantic relations and common-sense knowledge about the new concepts. Keywords Knowledge acquisition method • Common-sense knowledge • Inferentialist knowledge 1 Introduction Common-sense knowledge consists of spatial, physical, social, temporal and psychological facts, and knowledge, possessed by most people, which are fruits of daily life This is a revised and extended version of a previous paper that appeared at STIL 2011, the 8th Brazilian Symposium in Information and Human Language Technology.

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Section: A Knowledge Common Sense and Inferentialist Semantic Base-inmentioning

confidence: 99%

A semi-automated method for acquisition of common-sense and inferentialist knowledge

et al. 2012

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“…In this simple example, we can see that semantic roles are closely related to syntax, but also depends on the semantic of the word it relates to (in this case, the verb). For Portuguese, there are only a few initiatives that were dedicated to developing resource with this type of semantic information: PropBank.Br (Duran et al, 2011;Duran and Aluísio, 2012), VerbNet.Br (Scarton, 2013) and FrameNet Brasil (Salomão, 2009) are the most prominent, and all of them were directly derived from their English counterparts, as their names clearly point out. VerbLexPor 1 is a lexical resource with semantic role annotation for Portuguese that portrays the semantic function of 1 VerbLexPor is readily available for download in XML and SQL formats: http://cameleon.imag.fr/xwiki/ bin/view/Main/Semantic\%20role\%20labels\ %20corpus\%20-\%20Brazilian\%20Portuguese.…”

Section: Introductionmentioning

confidence: 99%

Development of a Lexical Resource Annotated with Semantic Roles for Portuguese

Zilio

2014

Lecture Notes in Computer Science

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This paper presents a lexical resource developed for Portuguese. The resource contains sentences annotated with semantic roles. The sentences were extracted from two domains: Cardiology research papers and newspaper articles. Both corpora were analyzed with the PALAVRAS parser and subsequently processed with a subcategorization frames extractor, so that each sentence that contained at least one main verb was stored in a database together with its syntactic organization. The annotation was manually carried out by a linguist using an annotation interface. Both the annotated and non-annotated data were exported to an XML format, which is readily available for download. The reason behind exporting non-annotated data is that there is syntactic information collected from the parser annotation in the non-annotated data, and this could be useful for other researchers. The sentences from both corpora were annotated separately, so that it is possible to access sentences either from the Cardiology or from the newspaper corpus. The full resource presents more than seven thousand semantically annotated sentences, containing 192 different verbs and more than 15 thousand individual arguments and adjuncts.

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“…Em geral, pode-se afirmar que só recentemente a semântica tem sido mais investigada de uma maneira mais sistemática na comunidade de PLN no Brasil e os primeiros recursos e ferramentas mais robustas têm surgido. Além dos trabalhos em DLS, pode-se citar, por exemplo, as iniciativas para construção das ontologias linguísticas Wordnet-Br (Dias da , OpenWordNet-Pt (De Paiva et al, 2012), Scarton e Aluisio (2009)) e Onto.PT (Gonçalo Oliveira et al, 2012) e os repositórios semânticos VerbNet.Br (Scarton, 2011), PropBank-Br (Duran e Aluísio, 2012), Verbo-Brasil (Duran et al, 2013a), FrameNet Brasil (Salomão, 2009) e FrameCorp (Bertoldi e Chishman, 2009). Quanto às ontologias mencionadas, estas organizam conceitualmente os termos gerais da língua; os repositórios citados propõem principalmente a classificação e sistematização dos verbos do português.…”

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Investigação de métodos de desambiguação lexical de sentidos de verbos do português do Brasil

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Agradeço, primeiramente, a Deus, porque Ele cuidou de mim e permitiu que aprendesse muito, conhecesse muitas pessoas maravilhosas e atingir esta meta. Hoje eu posso dizer "Até aqui o Senhor nos ajudou". À minha família, por sua paciência, seu apoio incondicional, suas orações e por ter me abraçado com seu amor em todo este tempo. Especialmente, a minha mãe Angela Isabel, minha irmã Mayra e minha avó Victoria. "Gordas, esto va para ustedes, las amo!". Ao meu orientador, Prof. Thiago Pardo, pela confiança, apoio e ensino ao longo deste projeto. Por ter me provocado para eu conseguir chegar mais longe do que eu pensei que poderia. A minha noiva Katherine, por ter compartilhado comigo este caminhar, não de maneira física, mas sim no pensamento, nas orações e no ânimo. Obrigado por teu amor incondicional neste tempo cachetona. Aos meus colegas e amigos do NILC, pelo tempo de aprendizado juntos (e aprendi muito), de descontração e pela amizade mostrada. Aos meus amigos da Igreja Metodista em São Carlos, por sua amizade, suas orações, por ter me dado mais do que eu tivesse esperado. Especialmente ao Pr. Levi Fernandes, Epaphras, Marcela, Valdemar, Elard, José e Rosalia. Obrigado família! Aos meus amigos peruanos no Brasil, que com suas piadas, momentos de discussão e compartilhar fizeram minha estância no Brasil mais fácil. À SAMSUNG Eletrônica da Amazônia LTDA e a CAPES, pelo apoio financeiro prestado ao meu mestrado.

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VerbNet.Br: construção semiautomática de um léxico verbal online e independente de domínio para o português do Brasil

Cited by 6 publications

References 25 publications

A semi-automated method for acquisition of common-sense and inferentialist knowledge

A semi-automated method for acquisition of common-sense and inferentialist knowledge

Development of a Lexical Resource Annotated with Semantic Roles for Portuguese

Investigação de métodos de desambiguação lexical de sentidos de verbos do português do Brasil

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