Ryan Gabbard

According to our database, Ryan Gabbard authored at least 13 papers between 2006 and 2021.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2021

ADAM: A Sandbox for Implementing Language Learning.

Ryan Gabbard, Deniz Beser, Jacob A. Lichtefeld, Joe Cecil, Mitch Marcus, Sarah R. B. Payne, Charles Yang, Marjorie Freedman

CoRR, 2021

Grounding Word Learning Across Situations.

Ryan Gabbard, Jacob A. Lichtefeld, Deniz Beser, Joe Cecil, Mitch Marcus, Sarah R. B. Payne, Charles Yang, Marjorie Freedman

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2019

GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System.

Manling Li, Ying Lin, Ananya Subburathinam, Spencer Whitehead, Xiaoman Pan, Di Lu, Qingyun Wang, Tongtao Zhang, Lifu Huang, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Bo Wu, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Yixiang Yao, Jennifer Chen, Eric Berquist, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Pedro A. Szekely, T. K. Satish Kumar, Arka Sadhu, Ram Nevatia, Miguel E. Rodríguez, Yifan Wang, Yang Bai, Ali Sadeghian, Daisy Zhe Wang

Proceedings of the 2019 Text Analysis Conference, 2019

2018

Combining rule-based and statistical mechanisms for low-resource named entity recognition.

Ryan Gabbard, Jay DeYoung, Constantine Lignos, Marjorie Freedman, Ralph M. Weischedel

Mach. Transl., 2018

Events Beyond ACE: Curated Training for Events.

Ryan Gabbard, Jay DeYoung, Marjorie Freedman

CoRR, 2018

GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System.

Tongtao Zhang, Ananya Subburathinam, Ge Shi, Lifu Huang, Di Lu, Xiaoman Pan, Manling Li, Boliang Zhang, Qingyun Wang, Spencer Whitehead, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Ruiqi Zhong, Steven Shao, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Dongyu Li, Xin Huang, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Mayank Kejriwal, Ram Nevatia, Pedro A. Szekely, T. K. Satish Kumar, Ali Sadeghian, Giacomo Bergami, Sourav Dutta, Miguel E. Rodríguez, Daisy Zhe Wang

Proceedings of the 2018 Text Analysis Conference, 2018

2017

BBN's 2017 KBP EAL Submission.

Jay DeYoung, Yee Seng Chan, Chinnu Pittapally, Hannah Provenza, Ryan Gabbard, Marjorie Freedman

Proceedings of the 2017 Text Analysis Conference, 2017

2011

Extreme Extraction - Machine Reading in a Week.

Marjorie Freedman, Lance A. Ramshaw, Elizabeth Boschee, Ryan Gabbard, Gary Kratkiewicz, Nicolas Ward, Ralph M. Weischedel

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Coreference for Learning to Extract Relations: Yes Virginia, Coreference Matters.

Ryan Gabbard, Marjorie Freedman, Ralph M. Weischedel

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2008

Construct State Modification in the Arabic Treebank.

Ryan Gabbard, Seth Kulick

Proceedings of the ACL 2008, 2008

2007

Empirical Price Modeling for Sponsored Search.

Kuzman Ganchev, Alex Kulesza, Jinsong Tan, Ryan Gabbard, Qian Liu, Michael J. Kearns

Proceedings of the Internet and Network Economics, Third International Workshop, 2007

Determining Case in Arabic: Learning Complex Linguistic Behavior Requires Complex Linguistic Features.

Nizar Habash, Ryan Gabbard, Owen Rambow, Seth Kulick, Mitchell P. Marcus

Proceedings of the EMNLP-CoNLL 2007, 2007

2006

Fully Parsing the Penn Treebank.

Ryan Gabbard, Seth Kulick, Mitchell P. Marcus

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006