Search Results for author: Nick Beauchamp

Found 6 papers, 4 papers with code

MOKA: Moral Knowledge Augmentation for Moral Event Extraction

1 code implementation16 Nov 2023 Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp, Lu Wang

News media employ moral language to create memorable stories, and readers often engage with the content that align with their values.

Event Extraction Moral Scenarios

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

no code implementations28 Oct 2023 Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nick Beauchamp, Lu Wang

Public opinion is shaped by the information news media provide, and that information in turn may be shaped by the ideological preferences of media outlets.

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

1 code implementation2 Nov 2022 Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang

We present a novel generative framework to allow the generation of canonical names for entities as well as stances among them.

Sentence Stance Detection

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

no code implementations TACL 2017 Lu Wang, Nick Beauchamp, Sarah Shugars, Kechen Qin

Using a dataset of 118 Oxford-style debates, our model's combination of content (as latent topics) and style (as linguistic features) allows us to predict audience-adjudicated winners with 74% accuracy, significantly outperforming linguistic features alone (66%).

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