| Introduction | In recent semantic role labeling (SRL) competitions such as the shared tasks of CoNLL 2005 and CoNLL 2008, supervised SRL systems have been trained on newswire text, and then tested on both an in-domain test set (Wall Street Journal text) and an out-of-domain test set (fiction). |
| Introduction | Yet the baseline from CoNLL 2005 suggests that the fiction texts are actually easier than the newswire texts. |
| Introduction | We test our open-domain semantic role labeling system using data from the CoNLL 2005 shared task (Carreras and Marquez, 2005). |
| Introduction | work of (Gildea and Jurafsky, 2002) and the successful CoNLL evaluation campaigns (Carreras and Marquez, 2005). |
| Introduction | Most of the CoNLL 2005 systems show a significant performance drop when the tested corpus, i.e. |
| Related Work | Indeed, all the best systems in the CoNLL shared task competitions (e.g. |