Frequency list
word | Freq | ||
---|---|---|---|
P | N | features | 5 | |
P | N | model | 3 | |
P | N | tree | 2 | |
P | N | ranking | 2 | |
P | N | boosting approach | 2 | |
P | N | algorithm | 2 | |
P | N | speech recognition | 1 | |
P | N | sparsity | 1 | |
P | N | reranking task | 1 | |
P | N | ranking tasks | 1 | |
P | N | probabilities | 1 | |
P | N | probabilistic parser | 1 | |
P | N | parsing data | 1 | |
P | N | parses | 1 | |
P | N | parse trees | 1 | |
P | N | natural language parsing ( NLP ) | 1 | |
P | N | natural language generation | 1 | |
P | N | machine translation | 1 | |
P | N | log-linear ( maximum-entropy ) models | 1 | |
P | N | log-likelihood under a baseline model | 1 | |
P | N | input sentence | 1 | |
P | N | generative model | 1 | |
P | N | feature space | 1 | |
P | N | feature selection methods | 1 | |
P | N | derivation | 1 | |
P | N | candidate parses | 1 | |
P | N | boosting method | 1 | |
P | N | boosting approach to ranking problems | 1 | |
P | N | baseline model ’s | 1 | |
P | N | base parser | 1 | |
P | N | Wall Street Journal treebank | 1 | |
P | N | NLP problems | 1 | |
P | N | F-measure error | 1 |