Utilize este identificador para referenciar este registo: http://hdl.handle.net/10451/30784
Título: Automatic Tagging of Modality: identifying triggers and modal values
Autor: Quaresma, Paulo
Mendes, Amália
Hendrickx, Iris
Gonçalves, Teresa
Palavras-chave: Modality
Annotation scheme
Automatic tagging
Data: 2014
Editora: European Language Resources Association
Citação: Quaresma, Paulo, Amália Mendes, Iris Hendrickx, Teresa Gonçalves (2014) “Automatic tagging of modality: identifying triggers and modal values” in Bunt, Harry (ed.) Proceedings 10th Joint ISO - ACL SIGSEM Workshop on Interoperable Semantic Annotation, May 26, 2014, Reykjavik, Iceland, pp. 95-101.
Resumo: We present an experiment in the automatic tagging of modality in Portuguese. As we are currently lacking a suitable resource with detailed modal information for Portuguese, we experiment with small sample of 160.000 tokens, manually annotated according to the modality scheme that we previously developed for European Portuguese (Hendrickx et al., 2012). We consider modality as the expression of the speaker (or subject)’s attitude towards the proposition and our modality scheme accounts for seven major modal values, and nine sub values. This experiment focuses on three modal verbs, poder ‘may/can’, dever ‘shall/might’ and conseguir ‘manage to/ succeed in/ be able to’, which may all have more than one modal value. We first report on the task of correctly detecting the modal uses of poder and dever, since these two verbs may have non modal meanings. For the identification of the modal value of each occurrence of those three verbs, we applied a machine learning approach that takes into consideration all the features available from a syntactic parser’s output. We obtained the best performance using SVM with a string kernel and the system improved the baseline for all three verbs, with a maximum F-score of 76.2.
URI: http://hdl.handle.net/10451/30784
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