@InProceedings{calderwood-EtAl:2017:SemBEaR,
  author    = {Calderwood, Alexander  and  Pruett, Elizabeth A.  and  Ptucha, Raymond  and  Homan, Christopher  and  Ovesdotter Alm, Cecilia},
  title     = {Understanding the Semantics of Narratives of Interpersonal Violence through Reader Annotations and Physiological Reactions},
  booktitle = {Proceedings of the Workshop Computational Semantics Beyond Events and Roles},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {1--9},
  abstract  = {Interpersonal violence (IPV) is a prominent sociological problem that affects
	people of all demographic backgrounds. By analyzing how readers interpret,
	perceive, and react to experiences narrated in social media posts, we explore
	an understudied source for discourse about abuse. We asked readers to annotate
	Reddit posts about relationships with vs. without IPV for stakeholder roles and
	emotion, while measuring their galvanic skin response (GSR), pulse, and facial
	expression. We map annotations to coreference resolution output to obtain a
	labeled coreference chain for stakeholders in texts, and apply automated
	semantic role labeling for analyzing IPV discourse. Findings provide insights
	into how readers process roles and emotion in narratives. For example, abusers
	tend to be linked with violent actions and certain affect states. We train
	classifiers to predict stakeholder categories of coreference chains. We also
	find that subjects' GSR noticeably changed for IPV texts, suggesting that
	co-collected measurement-based data about annotators can be used to support
	text annotation.},
  url       = {http://www.aclweb.org/anthology/W17-1801}
}