%0 Book Section %1 citeulike:4171936 %A Ferrández, Sergio %A Toral, Antonio %A Óscar Ferrández, %A Ferrández, Antonio %A noz, Rafael Mu\ %D 2007 %J Natural Language Processing and Information Systems %K Cross–Lingual EuroWordNet ILI QA indexing multilingual question-answering wikipedia wordnet %P 352--363 %R http://dx.doi.org/10.1007/978-3-540-73351-5\_31 %T Applying Wikipedia’s Multilingual Knowledge to Cross–Lingual Question Answering %U http://dx.doi.org/10.1007/978-3-540-73351-5\_31 %X The application of the multilingual knowledge encoded in Wikipedia to an open–domain Cross–Lingual Question Answering system based on the Inter Lingual Index (ILI) module of EuroWordNet is proposed and evaluated. This strategy overcomes the problems due to ILI’s low coverage on proper nouns (Named Entities). Moreover, as these are open class words (highly changing), using a community–based up–to–date resource avoids the tedious maintenance of hand–coded bilingual dictionaries. A study reveals the importance to translate Named Entities in CL–QA and the advantages of relying on Wikipedia over ILI for doing this. Tests on questions from the Cross–Language Evaluation Forum (CLEF) justify our approach (20\% of these are correctly answered thanks to Wikipedia’s Multilingual Knowledge).

@incollection{citeulike:4171936, abstract = {The application of the multilingual knowledge encoded in Wikipedia to an open–domain Cross–Lingual Question Answering system based on the Inter Lingual Index (ILI) module of EuroWordNet is proposed and evaluated. This strategy overcomes the problems due to ILI’s low coverage on proper nouns (Named Entities). Moreover, as these are open class words (highly changing), using a community–based up–to–date resource avoids the tedious maintenance of hand–coded bilingual dictionaries. A study reveals the importance to translate Named Entities in CL–QA and the advantages of relying on Wikipedia over ILI for doing this. Tests on questions from the Cross–Language Evaluation Forum (CLEF) justify our approach (20\% of these are correctly answered thanks to Wikipedia’s Multilingual Knowledge).}, added-at = {2009-03-14T10:11:03.000+0100}, author = {Ferr\'{a}ndez, Sergio and Toral, Antonio and \'{O}scar Ferr\'{a}ndez and Ferr\'{a}ndez, Antonio and {n}oz, Rafael Mu\}, biburl = {https://www.bibsonomy.org/bibtex/2dd58f0f4548f7012f32663127f79c36d/brightbyte}, citeulike-article-id = {4171936}, description = {CiteULike: Applying Wikipedia’s Multilingual Knowledge to Cross–Lingual Question Answering}, doi = {http://dx.doi.org/10.1007/978-3-540-73351-5\_31}, interhash = {3c49552f68e41ab5d2b65c0062b1e2d6}, intrahash = {dd58f0f4548f7012f32663127f79c36d}, journal = {Natural Language Processing and Information Systems}, keywords = {Cross–Lingual EuroWordNet ILI QA indexing multilingual question-answering wikipedia wordnet}, pages = {352--363}, posted-at = {2009-03-13 16:40:42}, priority = {2}, timestamp = {2009-03-14T10:11:20.000+0100}, title = {Applying Wikipedia’s Multilingual Knowledge to Cross–Lingual Question Answering}, url = {http://dx.doi.org/10.1007/978-3-540-73351-5\_31}, year = 2007 }