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Nick Beauchamp
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- affiliation: Northeastern University, Boston, MA, USA
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2020 – today
- 2024
- [c10]Xinliang Frederick Zhang, Nicholas Beauchamp, Lu Wang:
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives. EMNLP (Findings) 2024: 16507-16530 - [c9]Xinliang Frederick Zhang, Winston Wu, Nicholas Beauchamp, Lu Wang:
MOKA: Moral Knowledge Augmentation for Moral Event Extraction. NAACL-HLT 2024: 4481-4502 - [i7]Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang:
Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives. CoRR abs/2410.05558 (2024) - 2023
- [c8]Kaijian Zou, Xinliang Frederick Zhang, Winston Wu, Nicholas Beauchamp, Lu Wang:
Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting. EMNLP (Findings) 2023: 621-632 - [c7]Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nicholas Beauchamp, Lu Wang:
All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison. EMNLP 2023: 15472-15488 - [i6]Kaijian Zou, Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp, Lu Wang:
Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting. CoRR abs/2310.18768 (2023) - [i5]Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nick Beauchamp, Lu Wang:
All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison. CoRR abs/2310.18827 (2023) - [i4]Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp, Lu Wang:
MOKA: Moral Knowledge Augmentation for Moral Event Extraction. CoRR abs/2311.09733 (2023) - 2022
- [c6]Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang:
Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation. EMNLP 2022: 9950-9969 - [c5]Yuanyuan Lei, Ruihong Huang, Lu Wang, Nick Beauchamp:
Sentence-level Media Bias Analysis Informed by Discourse Structures. EMNLP 2022: 10040-10050 - [c4]Nick Beauchamp:
"This Candle Has No Smell": Detecting the Effect of COVID Anosmia on Amazon Reviews Using Bayesian Vector Autoregression. ICWSM 2022: 1363-1367 - [c3]Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nicholas Beauchamp, Lu Wang:
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection. NAACL-HLT (Findings) 2022: 1354-1374 - [i3]Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nick Beauchamp, Lu Wang:
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection. CoRR abs/2205.00619 (2022) - [i2]Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang:
Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation. CoRR abs/2211.01467 (2022) - 2020
- [c2]Laura South, Michail Schwab, Nick Beauchamp, Lu Wang, John Wihbey, Michelle A. Borkin
:
DebateVis: Visualizing Political Debates for Non-Expert Users. IEEE VIS (Short Papers) 2020: 241-245
2010 – 2019
- 2018
- [c1]Xingshan Zeng, Jing Li
Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse. NAACL-HLT 2018: 375-385 - 2017
- [j1]Lu Wang, Nick Beauchamp, Sarah Shugars, Kechen Qin:
Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes. Trans. Assoc. Comput. Linguistics 5: 219-232 (2017) - [i1]Lu Wang, Nick Beauchamp, Sarah Shugars, Kechen Qin:
Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes. CoRR abs/1705.05040 (2017)
Coauthor Index
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