Dean Fulgoni


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KnowYourNyms? A Game of Semantic Relationships
Ross Mechanic | Dean Fulgoni | Hannah Cutler | Sneha Rajana | Zheyuan Liu | Bradley Jackson | Anne Cocos | Chris Callison-Burch | Marianna Apidianaki
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Semantic relation knowledge is crucial for natural language understanding. We introduce “KnowYourNyms?”, a web-based game for learning semantic relations. While providing users with an engaging experience, the application collects large amounts of data that can be used to improve semantic relation classifiers. The data also broadly informs us of how people perceive the relationships between words, providing useful insights for research in psychology and linguistics.


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An Empirical Exploration of Moral Foundations Theory in Partisan News Sources
Dean Fulgoni | Jordan Carpenter | Lyle Ungar | Daniel Preoţiuc-Pietro
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

News sources frame issues in different ways in order to appeal or control the perception of their readers. We present a large scale study of news articles from partisan sources in the US across a variety of different issues. We first highlight that differences between sides exist by predicting the political leaning of articles of unseen political bias. Framing can be driven by different types of morality that each group values. We emphasize differences in framing of different news building on the moral foundations theory quantified using hand crafted lexicons. Our results show that partisan sources frame political issues differently both in terms of words usage and through the moral foundations they relate to.