Michael Bloodgood

48 papers A* 1A 1B 3Misc 1Journal 27Unranked 15

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