Popular Co-Authors
Benjamin Strauss (3)
K. Vijay-Shanker (3)
Lori Levin (3)
Christine Piatko (2)
Bonnie Dorr (2)
Peng Ye (1)
Kathrin Baker (1)
Bonnie J. Dorr (1)
Venues
WS (8)
ACL (2)
CONLL (2)
CL (1)
EACL (1)
NAACL (1)
HLT (1)
BUCC (1)
Michael Bloodgood
2017
Acquisition of Translation Lexicons for Historically Unwritten Languages
via Bridging Loanwords
[W17-2504]:
Michael Bloodgood
|
Benjamin Strauss
Using Global Constraints and Reranking to Improve Cognates Detection
[P17-1181]:
Michael Bloodgood
|
Benjamin Strauss
2014
Translation memory retrieval methods
[E14-1022]:
Michael Bloodgood
|
Benjamin Strauss
2013
Analysis of Stopping Active Learning based on Stabilizing Predictions
[W13-3502]:
Michael Bloodgood
|
John Grothendieck
2012
Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT
[J12-2006]:
Kathryn Baker
|
Michael Bloodgood
|
Bonnie J. Dorr
|
Chris Callison-Burch
|
Nathaniel W. Filardo
|
Christine Piatko
|
Lori Levin
|
Scott Miller
A Random Forest System Combination Approach for Error Detection in Digital Dictionaries
[W12-0511]:
Michael Bloodgood
|
Peng Ye
|
Paul Rodrigues
|
David Zajic
|
David Doermann
Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing
[W12-3807]:
Vinodkumar Prabhakaran
|
Michael Bloodgood
|
Mona Diab
|
Bonnie Dorr
|
Lori Levin
|
Christine D. Piatko
|
Owen Rambow
|
Benjamin Van Durme
2010
A Modality Lexicon and its use in Automatic Tagging
[L10-1309]:
Kathrin Baker
|
Michael Bloodgood
|
Bonnie Dorr
|
Nathaniel W. Filardo
|
Lori Levin
|
Christine Piatko
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation
[P10-1088]:
Michael Bloodgood
|
Chris Callison-Burch
Using Mechanical Turk to Build Machine Translation Evaluation Sets
[W10-0733]:
Michael Bloodgood
|
Chris Callison-Burch
2009
Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets
[N09-2035]:
Michael Bloodgood
|
K. Vijay-Shanker
A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping
[W09-1107]:
Michael Bloodgood
|
K. Vijay-Shanker
2008
An Approach to Reducing Annotation Costs for BioNLP
[W08-0620]:
Michael Bloodgood
|
K Vijay-Shanker
2006
Rapid Adaptation of POS Tagging for Domain Specific Uses
[W06-3321]:
John E. Miller
|
Michael Bloodgood
|
Manabu Torii
|
K. Vijay-Shanker