@conference {13792,
	title = {Inducing frame semantic verb classes from WordNet and LDOCE},
	booktitle = {Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics},
	year = {2004},
	month = {2004///},
	pages = {375 - 375},
	abstract = {This paper presents SemFrame, a systemthat induces frame semantic verb classes
from WordNet and LDOCE. Semantic
frames are thought to have significant
potential in resolving the paraphrase
problem challenging many language-
based applications.
When compared to the handcrafted
FrameNet, SemFrame achieves its best
recall-precision balance with 83.2\%
recall (based on SemFrame{\textquoteright}s coverage of
FrameNet frames) and 73.8\% precision
(based on SemFrame verbs{\textquoteright} semantic
relatedness to frame-evoking verbs). The
next best performing semantic verb
classes achieve 56.9\% recall and 55.0\%
precision.
},
	author = {Green,R. and Dorr, Bonnie J and Resnik, Philip}
}
