A lexical approach for Spanish question answering
|A lexical approach for Spanish question answering|
|Author(s)||Tellez A., Juarez A., Hernandez G., Denicia C., Villatoro E., Montes M., Villasenor L.|
|Published in||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Keyword(s)||Unknown (Extra: Data-driven approach, Evaluation results, Factoid questions, Language processing, Lexical information, Machine learning techniques, Question Answering, Question Answering Task, Wikipedia, Information retrieval, Information services, Learning algorithms, Natural language processing systems, Linguistics)|
|Article||BASE, CiteSeerX, Google Scholar|
|Web||Ask, Bing, Google (PDF), Yahoo!|
|Download and mirrors|
|Local copy||Not available|
|Remote mirror(s)||Not available|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of conference papers|
A lexical approach for Spanish question answering is a 2008 conference paper written in English by Tellez A., Juarez A., Hernandez G., Denicia C., Villatoro E., Montes M., Villasenor L. and published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
This paper discusses our system's results at the Spanish Question Answering task of CLEF 2007. Our system is centered in a full data-driven approach that combines information retrieval and machine learning techniques. It mainly relies on the use of lexical information and avoids any complex language processing procedure. Evaluation results indicate that this approach is very effective for answering definition questions from Wikipedia. In contrast, they also reveal that it is very difficult to respond factoid questions from this resource solely based on the use of lexical overlaps and redundancy.
- This section requires expansion. Please, help!
Probably, this publication is cited by others, but there are no articles available for them in WikiPapers.