Summary of the paper
| Title | LexTec - a Rich Language Resource for Technical Domains in Portuguese |
|---|---|
| Authors | Palmira Marrafa, Raquel Amaro and Sara Mendes |
| Abstract | The growing amount of available information and the importance given to the access to technical information enhance the potential role of NLP applications in enabling users to deal with information for a variety of knowledge domains. In this process, language resources are crucial. This paper presents Lextec, a rich computational language resource for technical vocabulary in Portuguese. Encoding a representative set of terms for ten different technical domains, this concept-based relational language resource combines a wide range of linguistic information by integrating each entry in a domain-specific wordnet and associating it with a precise definition for each lexicalization in the technical domain at stake, illustrative texts and information for translation into English. |
| Topics | Ontologies, Semantics |
Full paper  |
LexTec - a Rich Language Resource for Technical Domains in Portuguese |
| Bibtex | @InProceedings{MARRAFA14.222, author = {Palmira Marrafa and Raquel Amaro and Sara Mendes}, title = {LexTec - a Rich Language Resource for Technical Domains in Portuguese}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |