Daniel M. Bikel, Vittorio Castelli
ACL 2008
This paper describes a novel event-matching strategy using features obtained from the transitive closure of dependency relations. The method yields a model capable of matching events with an F-measure of 66.5%. © 2008 Association for Computational Linguistics.
Daniel M. Bikel, Vittorio Castelli
ACL 2008
Vittorio Castelli, Luis Alfonso Lastras-Montaño
IEEE Trans. Inf. Theory
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SIGMOD Record (ACM Special Interest Group on Management of Data)
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NAACL-HLT 2013