activity
20112017
most citedGrounded Semantic Composition for Visual Scenes

154 citations · 185 across the 3 of their papers we have counts for

collaborators

9 papers

cs.CV20178 cited

Audio-Visual Sentiment Analysis for Learning Emotional Arcs in Movies

Eric Chu, Deb Roy

Stories can have tremendous power -- not only useful for entertainment, they can activate our interests and mobilize our actions. The degree to which a story resonates with its aud…

cs.CL201723 cited

Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands

Thomas Kollar, Stefanie Tellex, Matthew Walter +8

Many task domains require robots to interpret and act upon natural language commands which are given by people and which refer to the robot's physical surroundings. Such interpreta…

cs.CL2016

DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs

Prashanth Vijayaraghavan, Ivan Sysoev, Soroush Vosoughi +1

This paper describes our approach for the Detecting Stance in Tweets task (SemEval-2016 Task 6). We utilized recent advances in short text categorization using deep learning to cre…

cs.SI2016

Digital Stylometry: Linking Profiles Across Social Networks

Soroush Vosoughi, Helen Zhou, Deb Roy

There is an ever growing number of users with accounts on multiple social media and networking sites. Consequently, there is increasing interest in matching user accounts and profi…

cs.CL2016

Tweet Acts: A Speech Act Classifier for Twitter

Soroush Vosoughi, Deb Roy

Speech acts are a way to conceptualize speech as action. This holds true for communication on any platform, including social media platforms such as Twitter. In this paper, we expl…

cs.CL2016

Automatic Detection and Categorization of Election-Related Tweets

Prashanth Vijayaraghavan, Soroush Vosoughi, Deb Roy

With the rise in popularity of public social media and micro-blogging services, most notably Twitter, the people have found a venue to hear and be heard by their peers without an i…