Melissa Roemmele

Learn More
Research in open-domain commonsense reasoning has been hindered by the lack of evaluation metrics for judging progress and comparing alternative approaches. Taking inspiration from large-scale question sets used in natural language processing research, we authored one thousand English-language questions that directly assess commonsense causal reasoning,(More)
Previous research suggests that individuals abused as children are more likely to engage in risky sexual behavior during adulthood. The present study examined early maladaptive schemas as mediators of the child abuse-risky sexual behavior relationship among 653 college women. Self-report surveys assessed three forms of child abuse: Sexual, physical, and(More)
We present Creative Help, an application that helps writers by generating suggestions for the next sentence in a story as it being written. Users can modify or delete suggestions according to their own vision of the unfolding narrative. The application tracks users’ changes to suggestions in order to measure their perceived helpfulness to the story, with(More)
SemEval-2012 Task 7 presented a deceptively simple challenge: given an English sentence as a premise, select the sentence amongst two alternatives that more plausibly has a causal relation to the premise. In this paper, we describe the development of this task and its motivation. We describe the two systems that competed in this task as part of SemEval2012,(More)
The Story Cloze Test consists of choosing a sentence that best completes a story given two choices. In this paper we present a system that performs this task using a supervised binary classifier on top of a recurrent neural network to predict the probability that a given story ending is correct. The classifier is trained to distinguish correct story endings(More)
Automated story generation has a long history of pursuit in artificial intelligence. Early approaches used hand-authored formal models of a particular story-world domain to generate narratives pertaining to that domain (Klein, Aeschlimann, and Balsiger 1973; Lebowitz 1985; Meehan 1977). With the advent of machine learning, more recent work has explored how(More)
With recent research interest in the confounding roles of homophily and contagion in studies of social influence, there is a strong need for reliable content-based measures of the similarity between people. In this paper, we investigate the use of text similarity measures as a way of predicting the similarity of prolific weblog authors. We describe a novel(More)
Seventy years ago, psychologists Fritz Heider and Marianne Simmel described an influential study of the perception of intention, where a simple movie of animated geometric shapes evoked in their subjects rich narrative interpretations involving their psychology and social relationships. In this paper, we describe the Heider-Simmel Interactive Theater, a web(More)
Humans have a remarkable tendency to anthropomorphize moving objects, ascribing to them intentions and emotions as if they were human. Early social psychology research demonstrated that animated film clips depicting the movements of simple geometric shapes could elicit rich interpretations of intentional behavior from viewers. In attempting to model this(More)
Obsessive-compulsive disorder (OCD) is an anxiety-based disorder that affects around 2.5% of the population. A common treatment for OCD is exposure therapy, where the patient repeatedly confronts a feared experience, which has the long-term effect of decreasing their anxiety. Some exposures consist of reading and writing stories about an imagined(More)