2026-04-13T05:48:55Zhttps://recercat.cat/oai/requestoai:recercat.cat:2117/103742025-07-17T14:27:40Zcom_2072_1033col_2072_452950
RECERCAT
author
Peris, Aina
author
Taulé, Mariona
author
Boleda Torrent, Gemma
author
Rodríguez Hontoria, Horacio
2010
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.Peer ReviewedPostprint (published version)
Open Access
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
ADN-classifier: automatically assigning denotation types to nominalizations
Conference report