SwiRL is a Semantic Role Labeling (SRL) system for English constructed on top of the full syntactic analysis of text. Achieved state-of-the-art performance in the CoNLL 2005 SRL evaluation.

C++

Charniak Parser (included), Xavi Carreras’ AdaBoost library (included).

Semantic Role Labeler

It has state-of-the-art performance: currently its F1 on the WSJ corpus is 77+, and on the Brown corpus it is 66+ points. SwiRL ranks fifth among the systems that participated at the CoNLL 2005 shared task evaluation, but all the systems that scored higher were actually combinations of several individual models.

Mihai Surdeanu and Jordi Turmo, “Semantic Role Labeling Using Complete Syntactic Analysis”, CoNLL Shared Task 2005.