Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes the system developed by the Language Technologies Lab at INAOE for the Spanish Question Ansring task at CLEF 2006. The presented system is centered in a full datadriven architecture that uses machine learning and text mining techniques to identify the most probable ansrs to factoid and definition questions respectively. Its major quality is that it mainly relies on the use of lexical information and avoids applying any complex language processing resource such as named entity classifiers, parsers or ontologies. Experimental results show that the proposed architecture can be a practical solution for monolingual question ansring reaching an ansr precision as high as 51%.
['Antonio Juárez-González', 'Alberto Téllez-Valero', 'Claudia Denicia-Carral', 'Manuel Montes-y-Gómez', 'Luis Villaseñor-Pineda']
I am writing a research paper on a idea INAOE at CLEF 2006: Experiments in Spanish Question Answering
[{"from": "human", "value": "I am writing a research paper on a idea INAOE at CLEF 2006: Experiments in Spanish Question Answering"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes the system developed by the Language Technologies Lab at INAOE for the Spanish Question Ansring task at CLEF 2006. The presented system is centered in a full datadriven architecture that uses machine learning and text mining techniques to identify the most probable ansrs to factoid and definition questions respectively. Its major quality is that it mainly relies on the use of lexical information and avoids applying any complex language processing resource such as named entity classifiers, parsers or ontologies. Experimental results show that the proposed architecture can be a practical solution for monolingual question ansring reaching an ansr precision as high as 51%."}]