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]
Leveraging Dependency Forest for Neural Medical Relation Extraction,
Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, and Jinsong Su.
In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint
Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 208–218, Hong Kong, November 2019.
[bib]
SemBleu: A Robust Metric for AMR Parsing Evaluation,
Linfeng Song and Daniel Gildea.
In Proceedings of the 57th Conference of the Association for Computational Linguistics, pp. 4547–4552, Florence,
Italy, 2019.
[bib]
Semantic Neural Machine Translation using AMR,
Linfeng Song, Daniel Gildea, Yue Zhang, Zhiguo Wang, and Jinsong Su.
Transactions of the Association for Computational Linguistics (TACL), 7:19–31, 2019.
[bib]
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.
[bib]
Sequence-to-sequence Models for Cache Transition Systems,
Xiaochang Peng, Linfeng Song, Daniel Gildea, and Giorgio Satta.
In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-18), pp. 1842–1852,
2018.
[bib]
Orthographic Features for Bilingual Lexicon Induction,
Parker Riley and Daniel Gildea.
In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, pp. 390–394, Melbourne,
Australia, 2018.
[bib]
A Graph-to-Sequence Model for AMR-to-Text Generation,
Linfeng Song, Yue Zhang, Zhiguo Wang, and Daniel Gildea.
In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-18), pp. 1616–1626,
2018.
[bib]
N-ary Relation Extraction using Graph-State LSTM,
Linfeng Song, Yue Zhang, Zhiguo Wang, and Daniel Gildea.
In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 2226–2235, Association
for Computational Linguistics, 2018.
[bib]
Neural Transition-based Syntactic Linearization,
Linfeng Song, Yue Zhang, and Daniel Gildea.
In Proceedings of the 11th International Conference on Natural Language Generation, pp. 431–440, Association
for Computational Linguistics, 2018.
[bib]
Leveraging Context Information for Natural Question Generation,
Linfeng Song, Zhiguo Wang, Wael Hamza, Yue Zhang, and Daniel Gildea.
In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL-18), pp. 569–574,
2018.
[bib]
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.
[bib]
Unsupervised Alignment of Actions in Video with Text Descriptions,
Young Chol Song, Iftekhar Naim, Abdullah Al Mamun, Kaustubh Kulkarni, Parag Singla, Jiebo Luo, Daniel Gildea, and Henry Kautz.
In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16), 2016.
[bib]
Sense Embedding Learning for Word Sense Induction,
Linfeng Song, Zhiguo Wang, Haitao Mi, and Daniel Gildea.
In Fifth Joint Conference On Lexical And Computational Semantics (*SEM 2016), pp. 85–90, 2016.
[bib]
Sampling Tree Fragments from Forests,
Tagyoung Chung, Licheng Fang, Daniel Gildea, and Daniel Stefankovic.
Computational Linguistics, 40(1):203–229, 2014.
[bib]
Sliding Alignment Windows for Real-Time Crowd Captioning,
Mohammad Kazemi, Rahman Lavaee, Iftekhar Naim, and Daniel Gildea.
In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers),
pp. 236–240, Association for Computational Linguistics, Baltimore, Maryland, 2014.
[bib]
Multi-rate HMMs for Word Alignment,
Elif Eyigöz, Daniel Gildea, and Kemal Oflazer.
In Eighth Workshop on Statistical Machine Translation (WMT-13), 2013.
[bib]
Text Alignment for Real-Time Crowd Captioning,
Iftekhar Naim, Daniel Gildea, Walter Lasecki, and Jeffrey Bigham.
In Proceedings of the 2013 Meeting of the North American chapter of the Association for Computational Linguistics (NAACL-13),
2013.
[bib]
Tuning as Linear Regression,
Marzieh Bazrafshan, Tagyoung Chung, and Daniel Gildea.
In North American chapter of the Association for Computational Linguistics (NAACL) short paper, pp. 543–547,
2012.
[bib]
Terminal-Aware Synchronous Binarization,
Licheng Fang, Tagyoung Chung, and Daniel Gildea.
In Proceedings of the ACL 2011 Conference Short Papers, Association for Computational Linguistics, Portland, Oregon,
2011.
[bib]
Semantic Role Labeling,
Martha Palmer, Daniel Gildea, and Nianwen Xue.
Synthesis Lectures on Human Language Technology Series, Morgan and Claypool, 2010.
[bib]
Language modeling with tree substitution grammars,
Matt Post and Daniel Gildea.
In NIPS workshop on Grammar Induction, Representation of Language, and Language Learning, Whistler, British Columbia,
2009.
[bib]
Worst-Case Synchronous Grammar Rules,
Daniel Gildea and Daniel Stefankovic.
In Proceedings of the 2007 Meeting of the North American chapter of the Association for Computational Linguistics (NAACL-07),
pp. 147–154, 2007.
[bib]
Optimizing Grammars for Minimum Dependency Length,
Daniel Gildea and David Temperley.
In Proceedings of the 45th Annual Conference of the Association for Computational Linguistics (ACL-07), pp. 184–191,
Prague, 2007.
[bib]
Factoring Synchronous Grammars by Sorting,
Daniel Gildea, Giorgio Satta, and Hao Zhang.
In Proceedings of the International Conference on Computational Linguistics/Association for Computational Linguistics
(COLING/ACL-06) Poster Session, pp. 279–286, Sydney, 2006.
[bib]
Stochastic Iterative Alignment for Machine Translation Evaluation,
Ding Liu and Daniel Gildea.
In Proceedings of the International Conference on Computational Linguistics/Association for Computational Linguistics
(COLING/ACL-06) Poster Session, pp. 539–546, Sydney, 2006.
[bib]
Synchronous Binarization for Machine Translation,
Hao Zhang, Liang Huang, Daniel Gildea, and Kevin Knight.
In Proceedings of the 2006 Meeting of the North American chapter of the Association for Computational Linguistics (NAACL-06),
pp. 256–263, New York, NY, 2006.
[bib]
Inducing Word Alignments with Bilexical Synchronous Trees,
Hao Zhang and Daniel Gildea.
In Proceedings of the International Conference on Computational Linguistics/Association for Computational Linguistics
(COLING/ACL-06) Poster Session, pp. 953–960, Sydney, 2006.
[bib]
Syntactic Features for Evaluation of Machine Translation,
Ding Liu and Daniel Gildea.
In ACL 2005 Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization,
pp. 25–32, Ann Arbor, MI, 2005.
[bib]
A Smorgasbord of Features for Statistical Machine Translation,
Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur, Anoop Sarkar, Kenji Yamada, Alex Fraser, Shankar Kumar, Libin Shen, David
Smith, Katherine Eng, Viren Jain, Zhen Jin, and Dragomir Radev.
In Proceedings of the 2004 Meeting of the North American chapter of the Association for Computational Linguistics (NAACL-04),
pp. 161–168, Boston, 2004.
[bib]
Syntax-Based Alignment: Supervised or Unsupervised?,
Hao Zhang and Daniel Gildea.
In Proceedings of the 20th International Conference on Computational Linguistics (COLING-04), pp. 418–424, Geneva,
Switzerland, August 2004.
[bib]
Syntax for Statistical Machine Translation,
Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur, Anoop Sarkar, Kenji Yamada, Alex Fraser, Shankar Kumar, Libin Shen, David
Smith, Katherine Eng, Viren Jain, Zhen Jin, and Dragomir Radev.
Center for Language and Speech Processing, Johns Hopkins University, Baltimore, 2003. Summer Workshop Final Report
[bib]
Natural Language Generation in the Context of Machine Translation,
Jan Hajic, Martin Čmejrek, Bonnie Dorr, Yuan Ding, Jason Eisner, Daniel Gildea, Terry Koo, Kristen Parton, Gerald Penn,
Dragomir Radev, and Owen Rambow.
Center for Language and Speech Processing, Johns Hopkins University, 2002. Summer Workshop Final Report
[bib]
2001
Corpus Variation and Parser Performance,
Daniel Gildea.
In 2001 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 167–202, Pittsburgh, PA,
2001.
[bib]
Identifying Semantic Roles in Text,
Daniel Gildea and Daniel Jurafsky.
In Seventeenth International Joint Conference on Artificial Intelligence (IJCAI-01), Seattle, Washington, 2001. Appears
as chapter in Exploring Artificial Intelligence in the New Millenium, Gerhard Lakemeyer and Bernhard Nebel, eds.,
Morgan Kaufmann, 2003
[bib]
2000
Automatic Labeling of Semantic Roles,
Daniel Gildea and Daniel Jurafsky.
In Proceedings of the 38th Annual Conference of the Association for Computational Linguistics (ACL-00), pp. 512–520,
Hong Kong, October 2000.
[bib]
1999
Topic-Based Novelty Detection,
James Allan, Hubert Jin, Martin Rajman, Charles Wayne, Daniel Gildea, Victor Lavrenko, Rose Hoberman, and David Caputo.
Center for Language and Speech Processing, Johns Hopkins University, 1999. Summer Workshop Final Report
[bib]
Topic-Based Language Models Using EM,
Daniel Gildea and Thomas Hofmann.
In Proceedings of the 6th European Conference on Speech Communication and Technology (EUROSPEECH-99), pp. 2167–2170,
Budapest, 1999.
[bib]
1998
A Dynamic Model of Aspectual Composition,
Nancy Chang, Daniel Gildea, and Srini Narayanan.
In Proceedings of the 20th Annual Conference of the Cognitive Science Society (COGSCI-98), pp. 226–231, Lawrence
Erlbaum, Madison, WI, 1998.
[bib]