Paper Info
Title
VerbLexPor: a lexical resource with semantic roles for Portuguese.
Abstract
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.
Year
Venue
Keywords
2016
LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
Semantic Role Labeling,Lexical Resource,Corpus
Field
DocType
Citations 
Computer science,Portuguese,Natural language processing,Artificial intelligence,Semantic role labeling
Conference
0
PageRank 
References 
Authors
0.34
7
3
Name
Order
Citations
PageRank
Leonardo Zilio188.69
Maria José Finatto2274.66
Aline Villavicencio328635.24