Professor, Computer Science,
University of Rochester.
Member, Center for Language Sciences
and Institute for Data Science.
I'm interested in statistical approaches to natural
language processing, in particular for the tasks of
machine translation and
See my group and publications. Here are some recent papers:
- Weighted DAG Automata for Semantic Graphs,
David Chiang, Frank Drewes, Daniel Gildea, Adam Lopez, and Giorgio Satta.
Computational Linguistics, 44(1):119–186, 2018.
- Cache Transition Systems for Graph Parsing,
Daniel Gildea, Giorgio Satta, and Xiaochang Peng.
Computational Linguistics, 44(1):85–118, 2018.
- A Notion of Semantic Coherence for Underspecified Semantic Representation,
Mehdi Manshadi, Daniel Gildea, and James F. Allen.
Computational Linguistics, 44(1):39–83, 2018.
- AMR Parsing with Cache Transition Systems,
Xiaochang Peng, Daniel Gildea, and Giorgio Satta.
In Proceedings of the National Conference on Artificial Intelligence (AAAI-18), 2018.
- Minimizing Syntactic Dependency Lengths: Typological/Cognitive Universal?,
David Temperley and Daniel Gildea.
Annual Reviews of Linguistics, 2018.
- University of Rochester WMT 2017 NMT System Submission,
Chester Holtz, Chuyang Ke, and Daniel Gildea.
In Proceedings of the Second Conference on Machine Translation, pp. 310–314, Association for Computational Linguistics,
Copenhagen, Denmark, September 2017.
- Scribe: Deep Integration of Human and Machine Intelligence to Caption Speech in Real Time,
Walter S. Lasecki, Christopher D. Miller, Iftekhar Naim, Raja Kushalnagar, Adam Sadilek, Daniel Gildea, and Jeffrey P. Bigham.
Commun. ACM, 60(9):93–100, ACM, New York, NY, USA, August 2017.
- Addressing the Data Sparsity Issue in Neural AMR Parsing,
Xiaochang Peng, Chuan Wang, Daniel Gildea, and Nianwen Xue.
In Proceedings of the European Chapter of the ACL (EACL-17), 2017.
- AMR-to-text Generation with Synchronous Node Replacement Grammar,
Linfeng Song, Xiaochang Peng, Yue Zhang, Zhiguo Wang, and Daniel Gildea.
In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL-17), 2017.
- Parsing Linear-Context Free Rewriting Systems with Fast Matrix Multiplication,
Shay B. Cohen and Daniel Gildea.
Computational Linguistics, 42(3):421–455, 2016.
gildea @ cs rochester edu
January 22, 2018