Publications from 2013
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Parma: A predicate argument aligner
We introduce PARMA, a system for cross-document, semantic predicate and argument alignment. Our system combines a number of linguistic resources familiar to researchers in areas such as recognizing textual entailment and question answering, integrating them into a simple discriminative model. PARMA achieves state of the art results on an existing and a new dataset. We suggest that previous efforts have focussed on data that is biased and too easy, and we provide a more difficult dataset based on translation data with a low baseline which we beat by 17% F1.
Travis Wolfe , Benjamin Van Durme , Mark Dredze , Nicholas Andrews , Charley Beller , Chris Callison-Burch , Jay DeYoung , Justin Snyder , Jonathan Weese , Tan Xu , others
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2013
