Summary of the paper
| Title | Building and Exploring Semantic Equivalences Resources |
|---|---|
| Authors | Gracinda Carvalho, David Martins de Matos and Vitor Rocio |
| Abstract | Language resources that include semantic equivalences at word level are common, and its usefulness is well established in text processing applications, as in the case of search. Named entities also play an important role for text based applications, but are not usually covered by the previously mentioned resources. The present work describes the WES base, Wikipedia Entity Synonym base, a freely available resource based on the Wikipedia. The WES base was built for the Portuguese Language, with the same format of another freely available thesaurus for the same language, the TeP base, which allows integration of equivalences both at word level and entity level. The resource has been built in a language independent way, so that it can be extended to different languages. The WES base was used in a Question Answering system, enhancing significantly its performance. |
| Topics | Information Extraction, Information Retrieval, Question Answering, Semantics |
Full paper  |
Building and Exploring Semantic Equivalences Resources |
| Bibtex | @InProceedings{CARVALHO12.643, author = {Gracinda Carvalho and David Martins de Matos and Vitor Rocio}, title = {Building and Exploring Semantic Equivalences Resources}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |