Rapid Adaptation of POS Tagging for Domain Specific Uses. - John E. Miller; Michael Bloodgood; Manabu Torii; K. Vijay-Shanker (BioNLP@NAACL-HLT, 2006)

An Approach to Reducing Annotation Costs for BioNLP. - Michael Bloodgood; K. Vijay-Shanker (BioNLP, 2008)

A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping. - Michael Bloodgood; K. Vijay-Shanker (CoNLL, 2009)

Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets. - Michael Bloodgood; K. Vijay-Shanker (HLT-NAACL (Short Papers), 2009)

Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation. - Michael Bloodgood; Chris Callison-Burch (ACL, 2010)

Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach. - Kathryn Baker; Michael Bloodgood; Chris Callison-Burch; Bonnie J. Dorr; Nathaniel Wesley Filardo; Lori S. Levin; Scott Miller; Christine D. Piatko (AMTA, 2010)

A Modality Lexicon and its use in Automatic Tagging. - Kathrin Baker; Michael Bloodgood; Bonnie J. Dorr; Nathaniel Wesley Filardo; Lori S. Levin; Christine D. Piatko (LREC, 2010)

Using Mechanical Turk to Build Machine Translation Evaluation Sets. - Michael Bloodgood; Chris Callison-Burch (Mturk@HLT-NAACL, 2010)

Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing. - Vinodkumar Prabhakaran; Michael Bloodgood; Mona T. Diab; Bonnie J. Dorr; Lori S. Levin; Christine D. Piatko; Owen Rambow; Benjamin Van Durme (ExProM@ACL, 2012)

Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT. - Kathrin Baker; Michael Bloodgood; Bonnie J. Dorr; Chris Callison-Burch; Nathaniel Wesley Filardo; Christine D. Piatko; Lori S. Levin; Scott Miller (Comput. Linguistics, 2012)

Analysis of Stopping Active Learning based on Stabilizing Predictions. - Michael Bloodgood; John Grothendieck (CoNLL, 2013)

Translation memory retrieval methods. - Michael Bloodgood; Benjamin Strauss (EACL, 2014)

A random forest system combination approach for error detection in digital dictionaries. - Michael Bloodgood; Peng Ye 001; Paul Rodrigues 001; David M. Zajic; David S. Doermann (CoRR, 2014)

Detecting Structural Irregularity in Electronic Dictionaries Using Language Modeling. - Paul Rodrigues 001; David M. Zajic; David S. Doermann; Michael Bloodgood; Peng Ye 001 (CoRR, 2014)

Correcting Errors in Digital Lexicographic Resources Using a Dictionary Manipulation Language. - David M. Zajic; Michael Maxwell; David S. Doermann; Paul Rodrigues 001; Michael Bloodgood (CoRR, 2014)

Use of Modality and Negation in Semantically-Informed Syntactic MT. - Kathryn Baker; Michael Bloodgood; Bonnie J. Dorr; Chris Callison-Burch; Nathaniel Wesley Filardo; Christine D. Piatko; Lori S. Levin; Scott Miller (CoRR, 2015)

Annotating Cognates and Etymological Origin in Turkic Languages. - Benjamin S. Mericli; Michael Bloodgood (CoRR, 2015)

Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection. - Michael Bloodgood; Benjamin Strauss (ICSC, 2016)

Acquisition of Translation Lexicons for Historically Unwritten Languages via Bridging Loanwords. - Michael Bloodgood; Benjamin Strauss (BUCC@ACL, 2017)

Using Global Constraints and Reranking to Improve Cognates Detection. - Michael Bloodgood; Benjamin Strauss (ACL (1), 2017)

Filtering Tweets for Social Unrest. - Alan Mishler; Kevin Wonus; Wendy Chambers; Michael Bloodgood (ICSC, 2017)

Impact of Batch Size on Stopping Active Learning for Text Classification. - Garrett Beatty; Ethan Kochis; Michael Bloodgood (ICSC, 2018)

Support Vector Machine Active Learning Algorithms with Query-by-Committee Versus Closest-to-Hyperplane Selection. - Michael Bloodgood (ICSC, 2018)

Stopping Active Learning Based on Predicted Change of F Measure for Text Classification. - Michael Altschuler; Michael Bloodgood (ICSC, 2019)

The Use of Unlabeled Data Versus Labeled Data for Stopping Active Learning for Text Classification. - Garrett Beatty; Ethan Kochis; Michael Bloodgood (ICSC, 2019)

Early Forecasting of Text Classification Accuracy and F-Measure with Active Learning. - Thomas Orth; Michael Bloodgood (ICSC, 2020)

Impact of Stop Sets on Stopping Active Learning for Text Classification. - Luke Kurlandski; Michael Bloodgood (ICSC, 2022)