Ideology Prediction from Scarce and Biased Supervision: Learn to Disregard the "What" and Focus on the "How"!. Chen, C., Walker, D., & Saligrama, V. In Rogers, A., Boyd-Graber, J. L., & Okazaki, N., editors, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023, pages 9529–9549, 2023. Association for Computational Linguistics.
Ideology Prediction from Scarce and Biased Supervision: Learn to Disregard the "What" and Focus on the "How"! [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/acl/ChenWS23a,
  author       = {Chen Chen and
                  Dylan Walker and
                  Venkatesh Saligrama},
  editor       = {Anna Rogers and
                  Jordan L. Boyd{-}Graber and
                  Naoaki Okazaki},
  title        = {Ideology Prediction from Scarce and Biased Supervision: Learn to Disregard
                  the "What" and Focus on the "How"!},
  booktitle    = {Proceedings of the 61st Annual Meeting of the Association for Computational
                  Linguistics (Volume 1: Long Papers), {ACL} 2023, Toronto, Canada,
                  July 9-14, 2023},
  pages        = {9529--9549},
  publisher    = {Association for Computational Linguistics},
  year         = {2023},
  url          = {https://doi.org/10.18653/v1/2023.acl-long.530},
  doi          = {10.18653/V1/2023.ACL-LONG.530},
  timestamp    = {Wed, 28 Aug 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/acl/ChenWS23a.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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