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Title:
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ADN-classifier: automatically assigning denotation types to nominalizations
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Author:
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Peris, Aina; Taulé, Mariona; Boleda Torrent, Gemma; Rodríguez Hontoria, Horacio
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics; Universitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural |
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Abstract:
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This paper presents the ADN-Classifier, an Automatic classification system of Spanish Deverbal Nominalizations aimed at identifying
its semantic denotation (i.e. event, result, underspecified, or lexicalized). The classifier can be used for NLP tasks such as coreference resolution or paraphrase detection. To our knowledge, the ADN-Classifier is the first effort in acquisition of denotations for
nominalizations using Machine Learning.We compare the results of the classifier when using a decreasing number of Knowledge
Sources, namely (1) the complete nominal lexicon (AnCora-Nom) that includes sense distictions, (2) the nominal lexicon
(AnCora-Nom) removing the sense-specific information, (3) nominalizations’ context information obtained from a treebank corpus
(AnCora-Es) and (4) the combination of the previous linguistic resources. In a realistic scenario, that is, without sense distinction, the best results achieved are those taking into account the information declared in the lexicon (89.40% accuracy). This shows that the lexicon contains crucial information (such as argument structure) that corpus-derived features cannot substitute for. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural
-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic
-Spanish Deverbal Nominalizations (Classification system)
-ADN-Classifier (Automatic classification system)
-Natural language processing (Computer science)
-Computational linguistics -- Research
-Lingüística computacional
-Corpus (Lingüística)
-Castellà -- Lexicografia |
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Rights:
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Document type:
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Article - Published version
Conference Object |
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