Summary of the paper
| Title | An Unsupervised Approach for Semantic Relation Interpretation |
|---|---|
| Authors | Emiliano Giovannetti |
| Abstract | In this work we propose a hybrid unsupervised approach for semantic relationextraction from Italian and English texts. The system takes as input pairsof "distributionally similar" terms, possibly involved in a semantic relation.To validate and label the anonymous relations holding between the terms ininput, the candidate pairs of terms are looked for on the Web in the context ofreliable lexico-syntactic patterns. This paper focuses on the definition of thepatterns, on the measures used to assess the reliability of the suggestedspecific semantic relation and on the evaluation of the implemented system.So far, the system is able to extract the following types of semanticrelations: hyponymy, meronymy, and co-hyponymy. The approach can however beeasily extended to manage other relations by defining the appropriate batteryof reliable lexico-syntactic patterns. Accuracy of the system was measured withscores of 83.3% for hyponymy, 75% for meronymy and 72.2% for co-hyponymyextraction. |
| Language | Ontologies |
| Topics | Information Extraction, Information Retrieval, Knowledge Discovery/Representation, Ontologies |
Full paper  |
An Unsupervised Approach for Semantic Relation Interpretation |
| Bibtex | @InProceedings{GIOVANNETTI10.734, author = {Emiliano Giovannetti}, title = {An Unsupervised Approach for Semantic Relation Interpretation}, 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} } |