Chandra Bhagavatula


Senior Research Scientist, AI2

Thinking Like a Skeptic: Defeasible Inference in Natural Language


Conference paper


Rachel Rudinger, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, Yejin Choi
Findings of the Association for Computational Linguistics: EMNLP 2020, Association for Computational Linguistics, Online, 2020 Nov, pp. 4661--4675

Cite

APA
Rudinger, R., Shwartz, V., Hwang, J. D., Bhagavatula, C., Forbes, M., Le Bras, R., … Choi, Y. (2020). Thinking Like a Skeptic: Defeasible Inference in Natural Language. In Findings of the Association for Computational Linguistics: EMNLP 2020 (pp. 4661–4675). Online: Association for Computational Linguistics.

Chicago/Turabian
Rudinger, Rachel, Vered Shwartz, Jena D. Hwang, Chandra Bhagavatula, Maxwell Forbes, Ronan Le Bras, Noah A. Smith, and Yejin Choi. “Thinking Like a Skeptic: Defeasible Inference in Natural Language.” In Findings of the Association for Computational Linguistics: EMNLP 2020, 4661–4675. Online: Association for Computational Linguistics, 2020.

MLA
Rudinger, Rachel, et al. “Thinking Like a Skeptic: Defeasible Inference in Natural Language.” Findings of the Association for Computational Linguistics: EMNLP 2020, Association for Computational Linguistics, 2020, pp. 4661–75.