Summary of the paper
| Title | Extracting Lexico-conceptual Knowledge for Developing Persian WordNet |
|---|---|
| Authors | Mehrnoush Shamsfard, Hakimeh Fadaei and Elham Fekri |
| Abstract | Semantic lexicons and lexical ontologies are some major resources in naturallanguage processing. Developing such resources are time consuming tasks forwhich some automatic methods are proposed.This paper describes some methods used in semi-automatic development ofFarsNet; a lexical ontology for the Persian language. FarsNet includes thePersian WordNet with more than 10000 synsets of nouns, verbs and adjectives. In this paper we discuss extraction of lexico-conceptual relations such assynonymy, antonymy, hyperonymy, hyponymy, meronymy, holonymy and other lexicalor conceptual relations between words and concepts (synsets) from Persianresources. Relations are extracted from different resources like web, corpora,Wikipedia, Wiktionary, dictionaries and WordNet. In the system presented inthis paper a variety of approaches are applied in the task of relationextraction to extract ladled or unlabeled relations. They exploit the texts,structures, hyperlinks and statistics of web documents as well as the relationsof English WordNet and entries of mono and bi-lingual dictionaries. |
| Language | Text mining |
| Topics | Knowledge Discovery/Representation, Ontologies, Text mining |
Full paper  |
Extracting Lexico-conceptual Knowledge for Developing Persian WordNet |
| Bibtex | @InProceedings{SHAMSFARD10.784, author = {Mehrnoush Shamsfard, Hakimeh Fadaei and Elham Fekri}, title = {Extracting Lexico-conceptual Knowledge for Developing Persian WordNet}, 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} } |