Publications (13)
Topic-time Heatmaps for Human-in-the-loop Topic Detection and Tracking
Doug Beeferman, Hang Jiang
The essential task of Topic Detection and Tracking (TDT) is to organize a collection of news media into clusters of stories that pertain to the same real-world event. To apply TDT…
Bridging Dictionary: AI-Generated Dictionary of Partisan Language Use
Hang Jiang, Doug Beeferman, William Brannon +2
Words often carry different meanings for people from diverse backgrounds. Today's era of social polarization demands that we choose words carefully to prevent miscommunication, esp…
All a-board: sharing educational data science research with school districts
Nabeel Gillani, Doug Beeferman, Cassandra Overney +2
Educational data scientists often conduct research with the hopes of translating findings into lasting change through policy, civil society, or other channels. However, the bridge…
Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysis
Hang Jiang, Yining Hua, Doug Beeferman +1
Social media data such as Twitter messages ("tweets") pose a particular challenge to NLP systems because of their short, noisy, and colloquial nature. Tasks such as Named Entity Re…
A Model of Lexical Attraction and Repulsion
Doug Beeferman, Adam Berger, John Lafferty
This paper introduces new methods based on exponential families for modeling the correlations between words in text and speech. While previous work assumed the effects of word co-o…
AudienceView: AI-Assisted Interpretation of Audience Feedback in Journalism
William Brannon, Doug Beeferman, Hang Jiang +2
Understanding and making use of audience feedback is important but difficult for journalists, who now face an impractically large volume of audience comments online. We introduce A…