Anzahl der Publikationen: 7
Konferenzbeitrag
Hofmann, Valentin; Dong, Xiaowen; Pierrehumbert, Janet und Schütze, Hinrich
(Juli 2022):
Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity.
NAACL 2022, Seattle, United States, July 2022.
Carpuat, Marine; de Marneffe, Marie-Catherine und Meza Ruiz, Ivan Vladimir (Hrsg.):
In: Findings of the Association for Computational Linguistics: NAACL 2022,
Stroudsburg, PA: Association for Computational Linguistics. S. 536-550
[PDF, 3MB]
Hofmann, Valentin; Pierrehumbert, Janet und Schütze, Hinrich
(Juli 2022):
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology.
39 th International Conference on Machine Learning, Baltimore, Maryland, USA, July 2022.
Chaudhuri, Kamalika; Jegelka, Stefanie; Song, Le; Szepesvari, Csaba; Niu, Gang und Sabato, Sivan (Hrsg.):
In: Proceedings of the 39 th International Conference on Machine Learning, Baltimore, Maryland, USA, PMLR 162, 202,
Bd. 162
S. 8796-8810
[PDF, 32MB]
Hofmann, Valentin; Pierrehumbert, Janet und Schütze, Hinrich
(2021):
Superbizarre Is Not Superb: Derivational Morphology Improves BERT’s Interpretation of Complex Words.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Online, August 1–6, 2021.
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers),
Association for Computational Linguistics (ACL). S. 3594-3608
Konferenz
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