TY - JOUR T1 - Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT JF - Computational Linguistics Y1 - 2012 A1 - Baker,Kathryn A1 - Bloodgood,Michael A1 - Dorr, Bonnie J A1 - Callison-Burch,Chris A1 - Filardo,Nathaniel W. A1 - Piatko,Christine A1 - Levin,Lori A1 - Miller,Scott AB - 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. SN - 0891-2017 UR - http://dx.doi.org/10.1162/COLI_a_00099 M3 - 10.1162/COLI_a_00099 ER -