| other,22-2-P01-1070,bq | target variables which represent a <term> | user 's informational goals | </term> . We report on different aspects | #2165 These models, which are built from shallow linguistic features of questions, are employed to predict target variables which represent auser 's informational goals. |
| other,7-2-P01-1070,bq | models </term> , which are built from <term> | shallow linguistic features | </term> of <term> questions </term> , are employed | #2150 These models, which are built fromshallow linguistic features of questions, are employed to predict target variables which represent a user's informational goals. |
| other,14-1-P01-1070,bq | experiments centering on the construction of <term> | statistical models | </term> of <term> WH-questions </term> . These | #2138 We describe a set of supervised machine learning experiments centering on the construction ofstatistical models of WH-questions. |
| other,11-2-P01-1070,bq | shallow linguistic features </term> of <term> | questions | </term> , are employed to predict target | #2154 These models, which are built from shallow linguistic features ofquestions, are employed to predict target variables which represent a user's informational goals. |
| other,17-1-P01-1070,bq | of <term> statistical models </term> of <term> | WH-questions | </term> . These <term> models </term> , which | #2141 We describe a set of supervised machine learning experiments centering on the construction of statistical models ofWH-questions. |
| tech,5-1-P01-1070,bq | system </term> . We describe a set of <term> | supervised machine learning | </term> experiments centering on the construction | #2129 We describe a set ofsupervised machine learning experiments centering on the construction of statistical models of WH-questions. |
| measure(ment),23-3-P01-1070,bq | training and testing factors </term> on <term> | predictive performance | </term> , and examine the relationships among | #2193 We report on different aspects of the predictive performance of our models, including the influence of various training and testing factors onpredictive performance, and examine the relationships among the target variables. |
| other,11-3-P01-1070,bq | predictive performance </term> of our <term> | models | </term> , including the influence of various | #2181 We report on different aspects of the predictive performance of ourmodels, including the influence of various training and testing factors on predictive performance, and examine the relationships among the target variables. |
| measure(ment),7-3-P01-1070,bq | report on different aspects of the <term> | predictive performance | </term> of our <term> models </term> , including | #2177 We report on different aspects of thepredictive performance of our models, including the influence of various training and testing factors on predictive performance, and examine the relationships among the target variables. |
| model,1-2-P01-1070,bq | of <term> WH-questions </term> . These <term> | models | </term> , which are built from <term> shallow | #2144 Thesemodels, which are built from shallow linguistic features of questions, are employed to predict target variables which represent a user's informational goals. |
| other,18-3-P01-1070,bq | including the influence of various <term> | training and testing factors | </term> on <term> predictive performance </term> | #2188 We report on different aspects of the predictive performance of our models, including the influence of varioustraining and testing factors on predictive performance, and examine the relationships among the target variables. |
