Summary of the paper
| Title | ADN-Classifier:Automatically Assigning Denotation Types to Nominalizations |
|---|---|
| Authors | Aina Peris, Mariona Taulé, Gemma Boleda and Horacio Rodríguez |
| Abstract | This paper presents the ADN-Classifier, an Automatic classification system ofSpanish Deverbal Nominalizations aimed at identifying its semantic denotation(i.e. event, result, underspecified, or lexicalized). The classifier can beused for NLP tasks such as coreference resolution or paraphrase detection. Toour knowledge, the ADN-Classifier is the first effort in acquisition ofdenotations for nominalizations using Machine Learning.We compare the resultsof 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 arealistic scenario, that is, without sense distinction, the best resultsachieved 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 substitutefor. |
| Language | Tools, systems, applications |
| Topics | Corpus (creation, annotation, etc.), Semantics, Tools, systems, applications |
Full paper  |
ADN-Classifier:Automatically Assigning Denotation Types to Nominalizations |
| Bibtex | @InProceedings{PERIS10.252, author = {Aina Peris, Mariona Taulé, Gemma Boleda and Horacio Rodríguez}, title = {ADN-Classifier:Automatically Assigning Denotation Types to Nominalizations}, booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |