@article {13829,
	title = {Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT},
	journal = {Computational Linguistics},
	year = {2012},
	month = {2012///},
	pages = {1 - 48},
	abstract = {This paper describes the resource- and system-building efforts of an eight-week Johns Hopkins University Human Language Technology Center of Excellence Summer Camp for Applied Language Exploration (SCALE-2009) on Semantically-Informed Machine Translation (SIMT). We describe a new modality/negation (MN) annotation scheme, the creation of a (publicly available) MN lexicon, and two automated MN taggers that we built using the annotation scheme and lexicon. Our annotation scheme isolates three components of modality and negation: a trigger (a word that conveys modality or negation), a target (an action associated with modality or negation) and a holder (an experiencer of modality). We describe how our MN lexicon was semi-automatically produced and we demonstrate that a structure-based MN tagger results in precision around 86\% (depending on genre) for tagging of a standard LDC data set.},
	isbn = {0891-2017},
	doi = {10.1162/COLI_a_00099},
	url = {http://dx.doi.org/10.1162/COLI_a_00099},
	author = {Baker,Kathryn and Bloodgood,Michael and Dorr, Bonnie J and Callison-Burch,Chris and Filardo,Nathaniel W. and Piatko,Christine and Levin,Lori and Miller,Scott}
}
