Publications
2023
Fleisig, E., Amstutz, A., Atalla, C., Blodgett, S. L., Daumé III, H., Olteanu, A., Sheng, E., Vann, D., & Wallach, H. (2023). FairPrism: Evaluating fairness-related harms in text generation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. pdf
2022
Dev, S.*, Sheng, E.*, Zhao, J.*, Amstutz, A.*, Sun, J., Hou, Y., Sanseverino, M., Kim, J., Peng, N., Chang, K.-W. (2022). On Measures of Biases and Harms in NLP. To appear in Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing Conference (Findings) (AACL-IJCNLP-Findings 2022). pdf
2021
Sheng, E. (Aug 2021). Fairness in Natural Language Generation. PhD Thesis. pdf
Sheng, E., Chang, K.-W., Natarajan, P., & Peng, N. (2021). Societal Biases in Language Generation: Progress and Challenges. In Proceedings of the 2021 Conference of the Association for Computational Linguistics (ACL 2021). pdf
Sheng, E., Chang, K.-W., Natarajan, P., & Peng, N. (2021). "Nice Try, Kiddo": Investigating Ad Hominems in Dialogue Responses. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021). pdf
Sheng, E., Arnold, J., Yu, Z., Chang, K.-W., Natarajan, P., & Peng, N. (2021). Revealing Persona Biases in Dialogue Systems. arXiv preprint arXiv:2104.08728. pdf
2020
Sheng, E., Chang, K.-W., Natarajan, P., & Peng, N. (2020). Towards Controllable Biases in Language Generation. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (Findings) (EMNLP-Findings 2020). pdf poster
Sheng, E., & Uthus, D. (2020). Investigating Societal Biases in a Poetry Composition System. In Proceedings of the 2nd Gender Bias in NLP Workshop. pdf
2019
Sheng, E., Chang, K.-W., Natarajan, P., & Peng, N. (2019). The Woman Worked as a Babysitter: On Biases in Language Generation. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019). pdf slides
Earlier Works
Sheng, E., & Natarajan, P. (2018). A Byte-sized Approach to Named Entity Recognition. arXiv preprint arXiv:1809.08386. pdf
Sheng, E., Miller, S., Ambite, J. L., & Natarajan, P. (2017). A Neural Named Entity Recognition Approach to Biological Entity Identification. In Proceedings of the BioCreative VI Workshop. pdf
Sheng, E., Natarajan, P., Gordon, J., & Burns, G. (2017). An Investigation into the Pedagogical Features of Documents. In Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications (pp. 109-120). pdf
Gordon, J., Aguilar, S., Sheng, E., & Burns, G. (2017). Structured generation of technical reading lists. In Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications (pp. 261-270). pdf