C04-1201 results of a language independent question classification method . The method is claimed
C04-1201 to extract attributes for our question classification problem . In subsection 3.2 we
C02-1150 results are quite encouraging ; question classification is shown to be solved effectively
C02-1150 Using machine learning methods for question classification is advantageous over manual methods
C04-1201 Related Work Most approaches to question classification are based on handcrafted rules
C04-1201 L'opez-L'opez Abstract Previous works on question classification are based on complex natural
C02-1150 from among several candidates . A question classification module in a question answering
C04-1201 mixed languages corpora lo learn question classification . The Romance languages , for
C04-1201 gather , information to solve the question classification problem . Our learning scenario
C02-1150 a machine learning approach to question classification . We developed a hierarchical
C02-1150 a machine learning approach to question classification . We learn a hierarchical classifier
C04-1201 different approach , used for Japanese question classification , is that of Suzuki et al. (
C04-1201 order to extract attributes for question classification . We performed other experiments
C04-1201 they present a new method for question classification using Support Vector Machines
C04-1201 reported a hierarchical approach for question classification based on the SNoW learning architecture
C02-1150 Problem One difficulty in the question classification task is that there is no completely
C04-1201 also be extracted and used in question classification . Finally , in both cases we
C04-1201 Learning Question Classifiers Question classification is very similar to text classification
C02-1150 3.1 A Hierarchical Classifier Question classification is a multi-class classifica -
C04-1201 used to tackle the problem of question classification . In ( Zhang and Lee , 2003 )
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