Kimberly Glasgow

1Kimberly jordan Boyd-Graber
1Jackie Sauter Glasgow
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Social media offer a real-time, unfiltered view of how disasters affect communities. Crisis response, disaster mental health, and—more broadly—public health can benefit from automated analysis of the public's mental state as exhibited on social media. Our focus is on Twitter data from a community that lost members in a mass shooting and another(More)
Semantic textual similarity (STS) systems are designed to encode and evaluate the semantic similarity between words, phrases, sentences, and documents. One method for assessing the quality or authenticity of semantic information encoded in these systems is by comparison with human judgments. A data set for evaluating semantic models was developed consisting(More)
Violence risk assessment is an important and challenging task undertaken by mental health professionals and others, in both clinical and nonclinical settings. To date, computational linguistic techniques have not been used in the risk assessment process. However they could contribute to the current threat assessment process by allowing for early detection(More)
Social media, such as microblogging, is a potentially powerful medium through which the city and its citizens can connect , particularly during times of crisis or extreme events. Yet neither the city nor its citizens are monolithic entities. We propose methods to integrate geographic, topical, and social information and behavior to improve situational(More)
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