Computer Science Faculty

Vaidyanathan, P., Prud’hommeaux, E., Pelz, J., and Alm, C.O. 2018. SNAG: Spoken Narratives and Gaze Dataset. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 132–137.

Meyers, B., Munaiah, N., Prud’hommeaux, E., Meneely, A., Wolff, J., Alm, C.O., and Murukannaiah, P. 2018. A dataset for identifying actionable feedback in collaborative software development. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 126–131.

Jimerson, R. and Prud’hommeaux, E. 2018. ASR for documenting acutely under-resourced indigenous languages. To appear in the Proceedings of the 2018 Language Resources and Evaluation Conference (LREC).

Prud’hommeaux, E., van Santen, J., and Gliner, D. 2017. Vector space models for evaluating semantic fluency in autism. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), 32–37.

Alm, C.O., Meyers, B.S., Prud’hommeaux, E. 2017. An Analysis and Visualization Tool for Case Study Learning of Linguistic Concepts. In Proceedings of the Conference on Empirical Methods in Natural Language Processing Demo Session (EMNLP), 13–18.

Vaidyanathan, P., Pelz, J., Prud’hommeaux, E., Alm, C., Haake, A. 2016. Fusing eye movements and observer narratives for expert-driven image-region annotations. In Proceedings of the ACM Symposium on Eye-Tracking Research and Applications (ETRA), 27–34. 

Prud’hommeaux, E. and Roark, B. 2015. Graph-based word alignment for clinical language evaluation. Computational Linguistics, 41(4):549–578.