%0 Journal Article %1 journals/jiis/BuscaldiRSS10 %A Buscaldi, Davide %A Rosso, Paolo %A Soriano, José Manuel Gómez %A Sanchis, Emilio %D 2010 %J J. Intell. Inf. Syst. %K Answering Extraction Information Passage Question Retrieval %N 2 %P 113-134 %T Answering questions with an n-gram based passage retrieval engine. %U http://dblp.uni-trier.de/db/journals/jiis/jiis34.html#BuscaldiRSS10 %V 34 %X In this paper, we present a Question Answering system based on redundancy and a Passage Retrieval method that is specifically oriented to Question Answering. We suppose that in a large enough document collection the answer to a given question may appear in several different forms. Therefore, it is possible to find one or more sentences that contain the answer and that also include tokens from the original question. The Passage Retrieval engine is almost language-independent since it is based on n-gram structures. Question classification and answer extraction modules are based on shallow patterns.

@article{journals/jiis/BuscaldiRSS10, abstract = {In this paper, we present a Question Answering system based on redundancy and a Passage Retrieval method that is specifically oriented to Question Answering. We suppose that in a large enough document collection the answer to a given question may appear in several different forms. Therefore, it is possible to find one or more sentences that contain the answer and that also include tokens from the original question. The Passage Retrieval engine is almost language-independent since it is based on n-gram structures. Question classification and answer extraction modules are based on shallow patterns.}, added-at = {2018-01-04T02:27:44.000+0100}, author = {Buscaldi, Davide and Rosso, Paolo and Soriano, José Manuel Gómez and Sanchis, Emilio}, biburl = {https://www.bibsonomy.org/bibtex/2ad0353fa0540fc897d0a0ec3af840b0e/defeatnelly}, ee = {http://dx.doi.org/10.1007/s10844-009-0082-y}, interhash = {578f7a8e58c68d8ff7c05635f74b853e}, intrahash = {ad0353fa0540fc897d0a0ec3af840b0e}, journal = {J. Intell. Inf. Syst.}, keywords = {Answering Extraction Information Passage Question Retrieval}, number = 2, pages = {113-134}, timestamp = {2018-01-04T02:33:34.000+0100}, title = {Answering questions with an n-gram based passage retrieval engine.}, url = {http://dblp.uni-trier.de/db/journals/jiis/jiis34.html#BuscaldiRSS10}, volume = 34, year = 2010 }