Nick Beauchamp

According to our database, Nick Beauchamp authored at least 10 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

MOKA: Moral Knowledge Augmentation for Moral Event Extraction.

Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp, Lu Wang

CoRR, 2023

Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting.

Kaijian Zou, Xinliang Frederick Zhang, Winston Wu, Nicholas Beauchamp, Lu Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison.

Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nicholas Beauchamp, Lu Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection.

Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nicholas Beauchamp, Lu Wang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

"This Candle Has No Smell": Detecting the Effect of COVID Anosmia on Amazon Reviews Using Bayesian Vector Autoregression.

Nick Beauchamp

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation.

Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Sentence-level Media Bias Analysis Informed by Discourse Structures.

Yuanyuan Lei, Ruihong Huang, Lu Wang, Nick Beauchamp

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020

DebateVis: Visualizing Political Debates for Non-Expert Users.

Laura South, Michail Schwab, Nick Beauchamp, Lu Wang, John Wihbey, Michelle A. Borkin

Proceedings of the 31st IEEE Visualization Conference, 2020

2018

Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse.

Xingshan Zeng, Jing Li, Lu Wang, Nicholas Beauchamp, Sarah Shugars, Kam-Fai Wong

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes.

Lu Wang, Nick Beauchamp, Sarah Shugars, Kechen Qin

Trans. Assoc. Comput. Linguistics, 2017