Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision
M. Glockner, I. Habernal, I. Gurevych, in: Findings of the Association for Computational Linguistics: EMNLP 2020, Association for Computational Linguistics, 2020.
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Glockner, Max;
Habernal, IvanLibreCat;
Gurevych, Iryna
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Findings of the Association for Computational Linguistics: EMNLP 2020
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Glockner M, Habernal I, Gurevych I. Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision. In: Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics; 2020. doi:10.18653/v1/2020.findings-emnlp.97
Glockner, M., Habernal, I., & Gurevych, I. (2020). Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision. Findings of the Association for Computational Linguistics: EMNLP 2020. https://doi.org/10.18653/v1/2020.findings-emnlp.97
@inproceedings{Glockner_Habernal_Gurevych_2020, title={Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision}, DOI={10.18653/v1/2020.findings-emnlp.97}, booktitle={Findings of the Association for Computational Linguistics: EMNLP 2020}, publisher={Association for Computational Linguistics}, author={Glockner, Max and Habernal, Ivan and Gurevych, Iryna}, year={2020} }
Glockner, Max, Ivan Habernal, and Iryna Gurevych. “Why Do You Think That? Exploring Faithful Sentence-Level Rationales Without Supervision.” In Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics, 2020. https://doi.org/10.18653/v1/2020.findings-emnlp.97.
M. Glockner, I. Habernal, and I. Gurevych, “Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision,” 2020, doi: 10.18653/v1/2020.findings-emnlp.97.
Glockner, Max, et al. “Why Do You Think That? Exploring Faithful Sentence-Level Rationales Without Supervision.” Findings of the Association for Computational Linguistics: EMNLP 2020, Association for Computational Linguistics, 2020, doi:10.18653/v1/2020.findings-emnlp.97.
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