DFKI-LT - MARS: A Specialized RTE System for Parser Evaluation

Rui Wang, Yi Zhang
MARS: A Specialized RTE System for Parser Evaluation
2 Proceedings of the SemEval-2010 Evaluation Exercises on Semantic Evaluation, Uppsala, Sweden, Association for Computational Linguistics, 7/2010
 
This paper describes our participation in the the SemEval-2010 Task #12, Parser Evaluation using Textual Entailment. Our system incorporated two dependency parsers, one semantic role labeler, and a deep parser based on hand-crafted grammars. The shortest path algorithm is applied on the graph representation of the parser outputs. Then, different types of features are extracted and the entailment recognition is casted into a machine-learning-based classification task. The best setting of the system achieves 66.78% of accuracy, which ranks the 3rd place.
 
Files: BibTeX, PETE2010.pdf