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Can You Label Less by Using Out-of-Domain Data?

Can You Label Less by Using Out-of-Domain Data?

Check out our paper published on Workshop on Transfer Learning for Natural Language Processing at NeurIPS 2022 conference
Go to the profile of Rafal Kocielnik
Rafal Kocielnik
Dynamics of Political Polarization: Insights from Using Machine Learning and Natural Language…

Dynamics of Political Polarization: Insights from Using Machine Learning and Natural Language…

The American public increasingly finds itself bitterly divided over political differences. Survey indicators, partisan media, and the…
Go to the profile of Danny Ebanks
Danny Ebanks
Are Canadian Political Parties Responsive to the Climate Change’s Public Salience in Question…

Are Canadian Political Parties Responsive to the Climate Change’s Public Salience in Question…

In a new working paper, R. Michael Alvarez and I look at issue responsiveness in Canadian politics.
Go to the profile of Jacob Morrier
Jacob Morrier
Following the leader: Congressional Communication on Social Media

Following the leader: Congressional Communication on Social Media

Over the last decade, social media has become a key platform for political leaders to communicate with the public; however, political…
Go to the profile of Danny Ebanks
Danny Ebanks
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2021 Inauguration on Twitter

2021 Inauguration on Twitter

Introduction
Go to the profile of Maya Srikanth
Maya Srikanth
Thoughts on Challenges in Computational Social Science

Thoughts on Challenges in Computational Social Science

It is cool to do interdisciplinary research, but what does it take? Computational Social Science as an example.
Go to the profile of Anqi Liu
Anqi Liu
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