%0 Journal Article %J Computational Linguistics %D 2012 %T Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT %A Baker,Kathryn %A Bloodgood,Michael %A Dorr, Bonnie J %A Callison-Burch,Chris %A Filardo,Nathaniel W. %A Piatko,Christine %A Levin,Lori %A Miller,Scott %X 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. %B Computational Linguistics %P 1 - 48 %8 2012/// %@ 0891-2017 %G eng %U http://dx.doi.org/10.1162/COLI_a_00099 %R 10.1162/COLI_a_00099