Christine Doran

Also published as: C Doran


2012

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Navigating Large Comment Threads with CoFi
Christine Doran | Guido Zarrella | John C. Henderson
Proceedings of the Demonstration Session at the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2008

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Automated Machine Translation Improvement Through Post-Editing Techniques: Analyst and Translator Experiments
Jennifer Doyon | Christine Doran | C. Donald Means | Domenique Parr
Proceedings of the 8th Conference of the Association for Machine Translation in the Americas: Government and Commercial Uses of MT

From the Automatic Language Processing Advisory Committee (ALP AC) (Pierce et al., 1966) machine translation (MT) evaluations of the ‘60s to the Defense Advanced Research Projects Agency (DARPA) Global Autonomous Language Exploitation (GALE) (Olive, 2008) and National Institute of Standards and Technology (NIST) (NIST, 2008) MT evaluations of today, the U.S. Government has been instrumental in establishing measurements and baselines for the state-of-the-art in MT engines. In the same vein, the Automated Machine Translation Improvement Through Post-Editing Techniques (PEMT) project sought to establish a baseline of MT engines based on the perceptions of potential users. In contrast to these previous evaluations, the PEMT project’s experiments also determined the minimal quality level output needed to achieve before users found the output acceptable. Based on these findings, the PEMT team investigated using post-editing techniques to achieve this level. This paper will present experiments in which analysts and translators were asked to evaluate MT output processed with varying post-editing techniques. The results show at what level the analysts and translators find MT useful and are willing to work with it. We also establish a ranking of the types of post-edits necessary to elevate MT output to the minimal acceptance level.

2001

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Dialogue Interaction with the DARPA Communicator Infrastructure: The Development of Useful Software
Samuel Bayer | Christine Doran | Bryan George
Proceedings of the First International Conference on Human Language Technology Research

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Exploring Speech-Enabled Dialogue with the Galaxy Communicator Infrastructure
Samuel Bayer | Christine Doran | Bryan George
Proceedings of the First International Conference on Human Language Technology Research

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Finding Errors Automatically in Semantically Tagged Dialogues
John Aberdeen | Christine Doran | Laurie Damianos | Samuel Bayer | Lynette Hirschman
Proceedings of the First International Conference on Human Language Technology Research

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Comparing Several Aspects of Human-Computer and Human-Human Dialogues
Christine Doran | John Aberdeen | Laurie Damianos | Lynette Hirschman
Proceedings of the Second SIGdial Workshop on Discourse and Dialogue

2000

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A Representation for Complex and Evolving Data Dependencies in Generation
C Mellish | R Evans | L Cahill | C Doran | D Paiva | M Reape | D Scott | N Tipper
Sixth Applied Natural Language Processing Conference

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Punctuation in a Lexicalized Grammar
Christine Doran
Proceedings of the Fifth International Workshop on Tree Adjoining Grammar and Related Frameworks (TAG+5)

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Lexicalized grammar and the description of motion events
Matthew Stone | Tonia Bleam | Christine Doran | Martha Palmer
Proceedings of the Fifth International Workshop on Tree Adjoining Grammar and Related Frameworks (TAG+5)

1997

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EAGLE: An Extensible Architecture for General Linguistic Engineering
Breck Baldwin | Christine Doran | Jeffrey C. Reynar | Michael Niv | B. Srinivas
Fifth Conference on Applied Natural Language Processing: Descriptions of System Demonstrations and Videos

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Sentence Planning as Description Using Tree Adjoining Grammar
Matthew Stone | Christine Doran
35th Annual Meeting of the Association for Computational Linguistics and 8th Conference of the European Chapter of the Association for Computational Linguistics

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Maintaining the Forest and Burning out the Underbrush in XTAG
Christine Doran | Beth Hockey | Philip Hopely | Joseph Rosenzweig | Anoop Sarkar | B. Srinivas | Fei Xia
Computational Environments for Grammar Development and Linguistic Engineering

1996

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Paying Heed to Collocations
Matthew Stone | Christine Doran
Eighth International Natural Language Generation Workshop

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Motivations and Methods for Text Simplification
R. Chandrasekar | Christine Doran | B. Srinivas
COLING 1996 Volume 2: The 16th International Conference on Computational Linguistics

1995

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Heuristics and Parse Ranking
B. Srinivas | Christine Doran | Seth Kulick
Proceedings of the Fourth International Workshop on Parsing Technologies

There are currently two philosophies for building grammars and parsers – Statistically induced grammars and Wide-coverage grammars. One way to combine the strengths of both approaches is to have a wide-coverage grammar with a heuristic component which is domain independent but whose contribution is tuned to particular domains. In this paper, we discuss a three-stage approach to disambiguation in the context of a lexicalized grammar, using a variety of domain independent heuristic techniques. We present a training algorithm which uses hand-bracketed treebank parses to set the weights of these heuristics. We compare the performance of our grammar against the performance of the IBM statistical grammar, using both untrained and trained weights for the heuristics.