| Definitions and Related Work | predicting asker-rated quality of answers was evaluated by using a logistic regression model. |
| Experimental Results | We adapt the Support Vector Machine (SVM) and Logistic Regression (LR) which have been reported to be effective for classification and the Linear CRF (LCRF) which is used to summarize ordinary text documents in (Shen et al., 2007) as baselines for comparison. |
| Introduction | The experimental results show that the proposed model improve the performance signifi-cantly(in terms of precision, recall and F1 measures) as well as the ROUGE-l, ROUGE-2 and ROUGE-L measures as compared to the state-of-the-art methods, such as Support Vector Machines (SVM), Logistic Regression (LR) and Linear CRF (LCRF) (Shen et al., 2007). |