Popular Co-Authors

K. Vijay-Shanker (3)

Benjamin Strauss (3)

Lori Levin (3)

Chris Callison-Burch (3)

Nathaniel W. Filardo (2)

Christine Piatko (2)

Bonnie Dorr (2)

K Vijay-Shanker (1)

John E. Miller (1)

Manabu Torii (1)

Venues

WS (8)

ACL (2)

CONLL (2)

LREC (1)

NAACL (1)

CL (1)

BUCC (1)

HLT (1)

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

Using Mechanical Turk to Build Machine Translation Evaluation Sets
[W10-0733]: Michael Bloodgood | Chris Callison-Burch

Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation
[P10-1088]: 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