Utilize este identificador para referenciar este registo: http://hdl.handle.net/10451/30698
Título: Tagging and Labelling Portuguese Modal Verbs
Autor: Quaresma, Paulo
Mendes, Amália
Hendrickx, Iris
Gonçalves, Teresa
Data: 2014
Editora: Springer International Publishing
Citação: Quaresma, Paulo, Amália Mendes, Iris Hendrickx and Teresa Gonçalves (2014) “Tagging and Labelling Portuguese Modal Verbs” in Baptista, Jorge and Nuno Mamede (eds.) PROPOR 2014, LNAI 8775. Springer, Heidelberg, pp. 70-81. ISSN 0302-9743; ISBN 978-3-319-09760-2
Resumo: We present in this paper an experiment in automatically tagging a set of Portuguese modal verbs with modal information. Modality is the expression of the speaker's (or the subject's) attitude towards the content of the sentences and may be marked with lexical clues such as verbs, adverbs, adjectives, but also by mood and tense. Here we focus exclusively on 9 verbal clues that are frequent in Portuguese and that may have more than one modal meaning. We use as our gold data set a corpus of 160.000 tokens manually annotated, according to a modality annotation scheme for Portuguese. We apply a machine learning approach to predict the modal meaning of a verb in context. This modality tagger takes into consideration all the features available from the parsed data (pos, syntactic and semantic). The results show that the tagger improved the baseline for all verbs, and reached macro-average F-measures between 35 and 81% depending on the modal verb and on the modal value.
URI: http://hdl.handle.net/10451/30698
ISBN: 978-3-319-09760-2
ISSN: 0302-9743
Aparece nas colecções:FL - CLUL - Livros de Actas

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