Daniel Gildea

3019 Wegmans Hall
office hours: Tu/Th 11-12

I'm interested in statistical approaches to natural language processing, in particular for the tasks of machine translation and language understanding.

CV [pdf]

Teaching

• Spring 2024: 242 Artificial Intelligence
• previous courses

Research

• Rewarding Semantic Similarity under Optimized Alignments for AMR-to-Text Generation, Lisa Jin and Daniel Gildea. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL-22), 2022. [bib]
• Hierarchical Context Tagging for Utterance Rewriting, Lisa Jin, Linfeng Song, Lifeng Jin, Dong Yu, and Daniel Gildea. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-22), 2022. [bib]
• Derivation of a natural language processing algorithm to identify febrile infants, Jeffrey P. Yaeger, Jiahao Lu, Jeremiah Jones, Ashkan Ertefaie, Kevin Fiscella, and Daniel Gildea. Journal of Hospital Medicine, 17(1):11–18, 2022. [bib]
• Sequence-to-sequence AMR Parsing with Ancestor Information, Chen Yu and Daniel Gildea. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL-22), 2022. [bib]
• Outside Computation with Superior Functions, Parker Riley and Daniel Gildea. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics, pp. 2936–2940, 2021. [bib]
• AWLCO: All-Window Length Co-Occurrence, Joshua Sobel, Noah Bertram, Chen Ding, Fatemeh Nargesian, and Daniel Gildea. In Combinatorial Pattern Matching, 2021. [bib]
• Tensors over Semirings for Latent-Variable Weighted Logic Programs, Esma Balkır, Shay B. Cohen, and Daniel Gildea. In International Conference on Parsing Technologies (IWPT), pp. 73–90, 2020. [bib]
• Efficient Outside Computation, Daniel Gildea. Computational Linguistics, 46(4):745–762, 2020. [bib]
• Generalized Shortest-Paths Encoders for AMR-to-Text Generation, Lisa Jin and Daniel Gildea. In Proceedings of the 28th International Conference on Computational Linguistics (COLING-2020), pp. 2004–2013, Barcelona, Spain, 2020. [bib]
• Evidence Integration for Multi-hop Reading Comprehension with Graph Neural Networks, Linfeng Song, Zhiguo Wang, Mo Yu, Yue Zhang, Radu Florian, and Daniel Gildea. IEEE Transactions on Knowledge and Data Engineering, 2020. [bib]