Summary of the paper
| Title | Combining Resources: Taxonomy Extraction from Multiple Dictionaries |
|---|---|
| Authors | Rogelio Nazar and Maarten Janssen |
| Abstract | The idea that dictionaries are a good source for (computational) information has been around for a long while, and the extraction of taxonomic information from them is something that has been attempted several times. However, such information extraction was typically based on the systematic analysis of the text of a single dictionary. In this paper, we demonstrate how it is possible to extract taxonomic information without any analysis of the specific text, by comparing the same lexical entry in a number of different dictionaries. Counting word frequencies in the dictionary entry for the same word in different dictionaries leads to a surprisingly good recovery of taxonomic information, without the need for any syntactic analysis of the entries in question nor any kind of language-specific treatment. As a case in point, we will show in this paper an experiment extracting hyperonymy relations fromseveral Spanish dictionaries, measuring the effect that the different number ofdictionaries have on the results. |
| Language | Ontologies |
| Topics | Knowledge Discovery/Representation, Lexicon, lexical database, Ontologies |
Full paper  |
Combining Resources: Taxonomy Extraction from Multiple Dictionaries |
| Bibtex | @InProceedings{NAZAR10.469, author = {Rogelio Nazar and Maarten Janssen}, title = {Combining Resources: Taxonomy Extraction from Multiple Dictionaries}, 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} } |