Summary of the paper
| Title | Using Lexical Acquisition to Enrich a Predicate Argument Reusable Database |
|---|---|
| Authors | Paula Cristina Vaz, David Martins de Matos and Nuno J. Mamede |
| Abstract | The work described in this paper aims to enrich the noun classifications of an existing database of lexical resources (de Matos and Ribeiro, 2004) adding missing information such as semantic relations. Relations are extracted from an annotated and manually corrected corpus. Semantic relations added to the database are retrieved from noun-appositive relations found in the corpus. The method uses clustering to generate labeled sets of words with hypernym relations between set label and set elements. |
| Language | Single language |
| Topics | Lexicon, lexical database, Semantics, Acquisition, Machine Learning |
Full paper |
Using Lexical Acquisition to Enrich a Predicate Argument Reusable Database |
Slides |
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| Bibtex | @InProceedings{VAZ08.627, author = {Paula Cristina Vaz, David Martins de Matos and Nuno J. Mamede}, title = {Using Lexical Acquisition to Enrich a Predicate Argument Reusable Database}, booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)}, year = {2008}, month = {may}, date = {28-30}, address = {Marrakech, Morocco}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-4-0}, note = {http://www.lrec-conf.org/proceedings/lrec2008/}, language = {english} } |