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LaunchNLP

@launchnlp

Research work and announcement by a group of researchers who study natural language processing @UMich. Part of @michigan_AI and @UMichCSE.
launch.eecs.umich.edu Joined May 2022
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LaunchNLP @launchnlp
Don’t miss Frederick’s NAACL work, MOKA, exploring moral value understanding from the perspective of event-level understanding.
If AI meeting human values is your jam, this is a must-read! 🌟.
⚠️ Poster session happening soon! @FrederickXZhang @LuWang__ @michigan_AI @UMichCSE
Xinliang (Frederick) Zhang @FrederickXZhang Jun 18, 2024
Late to join the party! Yet, stoked to share our #NAACL2024 work “MOKA: Moral Knowledge Augmentation for Moral Event Extraction”. Check out our work if interested in moral foundation theory, event extraction, news narrative, and more importantly, *aligning AI with human values*!
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LaunchNLP @launchnlp
How do even fact-based news outlets *unobtrusively* bias their reporting? In our new #EMNLP2023 paper, we study how media engage in partisan event coverage: choosing which events to include or exclude in articles.

⭐️Paper: aclanthology.org/2023.emnlp-mai…
⭐️Code: github.com/launchnlp/ATC
aclanthology.org All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nick Beauchamp, Lu Wang. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
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