| Abstract | In order to take contextual information into account, a discriminative model is used on top of the parser to re—rank the n—best parse trees generated by the parser. |
| Discriminative re-ranking | When there is enough labeled data, then a discriminative model can be trained on the labeled data to learn contextual information and to further enhance the tagging performance. |
| Introduction | Contextual information often plays a big role in resolving tagging ambiguities and is one of the key benefits of discriminative models such as CRFs. |
| Summary | to take contextual information into account. |