activity
20182022
most citedUsing Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract)

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL20221 cited

Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract)

Hansin Ahuja, Lynnette Hui Xian Ng, Kokil Jaidka

This abstract proposes an approach towards goal-oriented modeling of the detection and modeling complex social phenomena in multiparty discourse in an online political strategy gam…

cs.CL2021

Social Media Reveals Urban-Rural Differences in Stress across China

Jesse Cui, Tingdan Zhang, Kokil Jaidka +5

Modeling differential stress expressions in urban and rural regions in China can provide a better understanding of the effects of urbanization on psychological well-being in a coun…

cs.CL2019

The CL-SciSumm Shared Task 2018: Results and Key Insights

Kokil Jaidka, Michihiro Yasunaga, Muthu Kumar Chandrasekaran +2

This overview describes the official results of the CL-SciSumm Shared Task 2018 -- the first medium-scale shared task on scientific document summarization in the computational ling…

cs.IR2018

Report on the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018)

Philipp Mayr, Muthu Kumar Chandrasekaran, Kokil Jaidka

The joint BIRNDL workshop was held at the 41st ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018) in Ann Arbor, USA. BIRNDL 2018 intend…

cs.CL2018

Understanding and Measuring Psychological Stress using Social Media

Sharath Chandra Guntuku, Anneke Buffone, Kokil Jaidka +2

A body of literature has demonstrated that users' mental health conditions, such as depression and anxiety, can be predicted from their social media language. There is still a gap…