11 citations · 23 across the 5 of their papers we have counts for
5 papers
Enhancing Emotion Prediction in News Headlines: Insights from ChatGPT and Seq2Seq Models for Free-Text Generation
Ge Gao, Jongin Kim, Sejin Paik +5
Predicting emotions elicited by news headlines can be challenging as the task is largely influenced by the varying nature of people's interpretations and backgrounds. Previous work…
Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage
Isidora Chara Tourni, Lei Guo, Hengchang Hu +9
News media structure their reporting of events or issues using certain perspectives. When describing an incident involving gun violence, for example, some journalists may focus on…
BU-CVKit: Extendable Computer Vision Framework for Species Independent Tracking and Analysis
Mahir Patel, Lucas Carstensen, Yiwen Gu +2
A major bottleneck of interdisciplinary computer vision (CV) research is the lack of a framework that eases the reuse and abstraction of state-of-the-art CV models by CV and non-CV…
Dynamic Allocation of Crowd Contributions for Sentiment Analysis during the 2016 U.S. Presidential Election
Mehrnoosh Sameki, Mattia Gentil, Kate K. Mays +2
Opinions about the 2016 U.S. Presidential Candidates have been expressed in millions of tweets that are challenging to analyze automatically. Crowdsourcing the analysis of politica…
Salient Object Subitizing
Jianming Zhang, Shugao Ma, Mehrnoosh Sameki +6
We study the problem of Salient Object Subitizing, i.e. predicting the existence and the number of salient objects in an image using holistic cues. This task is inspired by the abi…