Michael Bloodgood

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 20

Top Topics

Support Vector Machine

Active Learning

Machine Translation

Top Venues

Publications

Luke Kurlandski, Michael Bloodgood
Impact of Stop Sets on Stopping Active Learning for Text Classification. CoRR (2022)
Luke Kurlandski, Michael Bloodgood
Impact of Stop Sets on Stopping Active Learning for Text Classification. ICSC (2022)
Thomas Orth, Michael Bloodgood
Early Forecasting of Text Classification Accuracy and F-Measure with Active Learning. CoRR (2020)
Thomas Orth, Michael Bloodgood
Early Forecasting of Text Classification Accuracy and F-Measure with Active Learning. ICSC (2020)
Garrett Beatty, Ethan Kochis, Michael Bloodgood
The Use of Unlabeled Data versus Labeled Data for Stopping Active Learning for Text Classification. CoRR (2019)
Garrett Beatty, Ethan Kochis, Michael Bloodgood
The Use of Unlabeled Data Versus Labeled Data for Stopping Active Learning for Text Classification. ICSC (2019)
Michael Altschuler, Michael Bloodgood
Stopping Active Learning based on Predicted Change of F Measure for Text Classification. CoRR (2019)
Michael Altschuler, Michael Bloodgood
Stopping Active Learning Based on Predicted Change of F Measure for Text Classification. ICSC (2019)
Michael Bloodgood
Support Vector Machine Active Learning Algorithms with Query-by-Committee versus Closest-to-Hyperplane Selection. CoRR (2018)
Garrett Beatty, Ethan Kochis, Michael Bloodgood
Impact of Batch Size on Stopping Active Learning for Text Classification. ICSC (2018)
Michael Bloodgood
Support Vector Machine Active Learning Algorithms with Query-by-Committee Versus Closest-to-Hyperplane Selection. ICSC (2018)
Garrett Beatty, Ethan Kochis, Michael Bloodgood
Impact of Batch Size on Stopping Active Learning for Text Classification. CoRR (2018)
Michael Bloodgood, Benjamin Strauss
Using Global Constraints and Reranking to Improve Cognates Detection. ACL (1) (2017)
Michael Bloodgood, Benjamin Strauss
Acquisition of Translation Lexicons for Historically Unwritten Languages via Bridging Loanwords. CoRR (2017)
Michael Bloodgood, Benjamin Strauss
Acquisition of Translation Lexicons for Historically Unwritten Languages via Bridging Loanwords. BUCC@ACL (2017)
Michael Bloodgood, Benjamin Strauss
Using Global Constraints and Reranking to Improve Cognates Detection. CoRR (2017)
Alan Mishler, Kevin Wonus, Wendy Chambers, Michael Bloodgood
Filtering Tweets for Social Unrest. CoRR (2017)
Alan Mishler, Kevin Wonus, Wendy Chambers, Michael Bloodgood
Filtering Tweets for Social Unrest. ICSC (2017)
Michael Bloodgood, Benjamin Strauss
Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection. CoRR (2016)
Michael Bloodgood, Benjamin Strauss
Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection. ICSC (2016)
Benjamin S. Mericli, Michael Bloodgood
Annotating Cognates and Etymological Origin in Turkic Languages. CoRR (2015)
Kathryn Baker, Michael Bloodgood, Bonnie J. Dorr, Chris Callison-Burch, Nathaniel Wesley Filardo, Christine D. Piatko, Lori S. Levin, Scott Miller
Use of Modality and Negation in Semantically-Informed Syntactic MT. CoRR (2015)
Michael Bloodgood, John Grothendieck
Analysis of Stopping Active Learning based on Stabilizing Predictions. CoRR (2015)
Michael Bloodgood, Benjamin Strauss
Translation Memory Retrieval Methods. CoRR (2015)
Vinodkumar Prabhakaran, Michael Bloodgood, Mona T. Diab, Bonnie J. Dorr, Lori S. Levin, Christine D. Piatko, Owen Rambow, Benjamin Van Durme
Statistical modality tagging from rule-based annotations and crowdsourcing. CoRR (2015)
David M. Zajic, Michael Maxwell, David S. Doermann, Paul Rodrigues, Michael Bloodgood
Correcting Errors in Digital Lexicographic Resources Using a Dictionary Manipulation Language. CoRR (2014)
Michael Bloodgood, Chris Callison-Burch
Using Mechanical Turk to Build Machine Translation Evaluation Sets. CoRR (2014)
Michael Bloodgood, K. Vijay-Shanker
An Approach to Reducing Annotation Costs for BioNLP. CoRR (2014)
Michael Bloodgood, K. Vijay-Shanker
Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets. CoRR (2014)
Paul Rodrigues, David M. Zajic, David S. Doermann, Michael Bloodgood, Peng Ye
Detecting Structural Irregularity in Electronic Dictionaries Using Language Modeling. CoRR (2014)
John E. Miller, Michael Bloodgood, Manabu Torii, K. Vijay-Shanker
Rapid Adaptation of POS Tagging for Domain Specific Uses. CoRR (2014)
Michael Bloodgood, Benjamin Strauss
Translation memory retrieval methods. EACL (2014)
Michael Bloodgood, Chris Callison-Burch
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation. CoRR (2014)
Michael Bloodgood, Peng Ye, Paul Rodrigues, David M. Zajic, David S. Doermann
A random forest system combination approach for error detection in digital dictionaries. CoRR (2014)
Michael Bloodgood, K. Vijay-Shanker
A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping. CoRR (2014)
Kathrin Baker, Michael Bloodgood, Chris Callison-Burch, Bonnie J. Dorr, Nathaniel Wesley Filardo, Lori S. Levin, Scott Miller, Christine D. Piatko
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach. CoRR (2014)
Kathrin Baker, Michael Bloodgood, Bonnie J. Dorr, Nathaniel Wesley Filardo, Lori S. Levin, Christine D. Piatko
A Modality Lexicon and its use in Automatic Tagging. CoRR (2014)
Michael Bloodgood, John Grothendieck
Analysis of Stopping Active Learning based on Stabilizing Predictions. CoNLL (2013)
Vinodkumar Prabhakaran, Michael Bloodgood, Mona T. Diab, Bonnie J. Dorr, Lori S. Levin, Christine D. Piatko, Owen Rambow, Benjamin Van Durme
Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing. ExProM@ACL (2012)
Kathrin Baker, Michael Bloodgood, Bonnie J. Dorr, Chris Callison-Burch, Nathaniel Wesley Filardo, Christine D. Piatko, Lori S. Levin, Scott Miller
Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT. Comput. Linguistics 38 (2) (2012)
Kathrin Baker, Michael Bloodgood, Bonnie J. Dorr, Nathaniel Wesley Filardo, Lori S. Levin, Christine D. Piatko
A Modality Lexicon and its use in Automatic Tagging. LREC (2010)
Kathryn Baker, Michael Bloodgood, Chris Callison-Burch, Bonnie J. Dorr, Nathaniel Wesley Filardo, Lori S. Levin, Scott Miller, Christine D. Piatko
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach. AMTA (2010)
Michael Bloodgood, Chris Callison-Burch
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation. ACL (2010)
Michael Bloodgood, Chris Callison-Burch
Using Mechanical Turk to Build Machine Translation Evaluation Sets. Mturk@HLT-NAACL (2010)
Michael Bloodgood, K. Vijay-Shanker
A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping. CoNLL (2009)
Michael Bloodgood, K. Vijay-Shanker
Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets. HLT-NAACL (Short Papers) (2009)
Michael Bloodgood, K. Vijay-Shanker
An Approach to Reducing Annotation Costs for BioNLP. BioNLP (2008)
John E. Miller, Michael Bloodgood, Manabu Torii, K. Vijay-Shanker
Rapid Adaptation of POS Tagging for Domain Specific Uses. BioNLP@NAACL-HLT (2006)