### Table 1: Parse tree accuracies for varying amounts and types of training data. Total number of test questions per experiment: 1153

### Table 1: Parse tree accuracies for varying amounts and types of training data. Total number of test questions per experiment: 1153

in Appeared in

### Table 2: Score shows how the parse score varies with the scaling factor for deeper sub-trees is varied. Imp. is the relative reduction in error in comparison to the PCFG, which scored 74%. The numbers reported are the mean and standard deviation over the 10 development sets.

in Abstract

### Table 2: Score shows how the parse score varies with the scaling factor for deeper sub-trees is varied. Imp. is the relative reduction in error in comparison to the PCFG, which scored 74%. The numbers reported are the mean and standard deviation over the 10 development sets.

in Abstract

### Table 1: Score shows how the parse score varies with the maximum depth of sub-tree considered by the perceptron. Improvement is the relative reduction in error in comparison to the PCFG, which scored 74%. The numbers reported are the mean and standard deviation over the 10 development sets.

2001

Cited by 125

### Table 1: Score shows how the parse score varies with the maximum depth of sub-tree considered by the perceptron. Improvement is the relative reduction in error in comparison to the PCFG, which scored 74%. The numbers reported are the mean and standard deviation over the 10 development sets.

2001

Cited by 125

### Table 1: Score shows how the parse score varies with the maximum depth of sub-tree considered by the perceptron. Improvement is the relative reduction in error in comparison to the PCFG, which scored 74%. The numbers reported are the mean and standard deviation over the 10 development sets.

2001

Cited by 125

in Abstract

in Abstract