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Journal Articles
- 2012
[j1]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): 411-438 (2012)
Conference and Workshop Papers
- 2022
- [c21]Luke Kurlandski, Michael Bloodgood:
Impact of Stop Sets on Stopping Active Learning for Text Classification. ICSC 2022: 25-32 - 2020
- [c20]Thomas Orth, Michael Bloodgood:
Early Forecasting of Text Classification Accuracy and F-Measure with Active Learning. ICSC 2020: 77-84 - 2019
- [c19]Michael Altschuler, Michael Bloodgood:
Stopping Active Learning Based on Predicted Change of F Measure for Text Classification. ICSC 2019: 47-54 - [c18]Garrett Beatty, Ethan Kochis, Michael Bloodgood:
The Use of Unlabeled Data Versus Labeled Data for Stopping Active Learning for Text Classification. ICSC 2019: 287-294 - 2018
- [c17]Michael Bloodgood:
Support Vector Machine Active Learning Algorithms with Query-by-Committee Versus Closest-to-Hyperplane Selection. ICSC 2018: 148-155 - [c16]Garrett Beatty, Ethan Kochis, Michael Bloodgood:
Impact of Batch Size on Stopping Active Learning for Text Classification. ICSC 2018: 306-307 - 2017
- [c15]Michael Bloodgood, Benjamin Strauss:
Using Global Constraints and Reranking to Improve Cognates Detection. ACL (1) 2017: 1983-1992 - [c14]Michael Bloodgood, Benjamin Strauss:
Acquisition of Translation Lexicons for Historically Unwritten Languages via Bridging Loanwords. BUCC@ACL 2017: 21-25 - [c13]Alan Mishler, Kevin Wonus, Wendy Chambers, Michael Bloodgood:
Filtering Tweets for Social Unrest. ICSC 2017: 17-23 - 2016
- [c12]Michael Bloodgood, Benjamin Strauss:
Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection. ICSC 2016: 79-86 - 2014
- [c11]Michael Bloodgood, Benjamin Strauss:
Translation memory retrieval methods. EACL 2014: 202-210 - 2013
- [c10]Michael Bloodgood, John Grothendieck:
Analysis of Stopping Active Learning based on Stabilizing Predictions. CoNLL 2013: 10-19 - 2012
- [c9]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: 57-64 - 2010
- [c8]Michael Bloodgood, Chris Callison-Burch:
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation. ACL 2010: 854-864 - [c7]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 - [c6]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 - [c5]Michael Bloodgood, Chris Callison-Burch:
Using Mechanical Turk to Build Machine Translation Evaluation Sets. Mturk@HLT-NAACL 2010: 208-211 - 2009
- [c4]Michael Bloodgood, K. Vijay-Shanker:
A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping. CoNLL 2009: 39-47 - [c3]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: 137-140 - 2008
- [c2]Michael Bloodgood, K. Vijay-Shanker:
An Approach to Reducing Annotation Costs for BioNLP. BioNLP 2008: 104-105 - 2006
- [c1]John E. Miller, Michael Bloodgood, Manabu Torii, K. Vijay-Shanker:
Rapid Adaptation of POS Tagging for Domain Specific Uses. BioNLP@NAACL-HLT 2006: 118-119
Informal and Other Publications
- 2022
- [i26]Luke Kurlandski, Michael Bloodgood:
Impact of Stop Sets on Stopping Active Learning for Text Classification. CoRR abs/2201.05460 (2022) - 2020
- [i25]Thomas Orth, Michael Bloodgood:
Early Forecasting of Text Classification Accuracy and F-Measure with Active Learning. CoRR abs/2001.10337 (2020) - 2019
- [i24]Michael Altschuler, Michael Bloodgood:
Stopping Active Learning based on Predicted Change of F Measure for Text Classification. CoRR abs/1901.09118 (2019) - [i23]Garrett Beatty, Ethan Kochis, Michael Bloodgood:
The Use of Unlabeled Data versus Labeled Data for Stopping Active Learning for Text Classification. CoRR abs/1901.09126 (2019) - 2018
- [i22]Michael Bloodgood:
Support Vector Machine Active Learning Algorithms with Query-by-Committee versus Closest-to-Hyperplane Selection. CoRR abs/1801.07875 (2018) - [i21]Garrett Beatty, Ethan Kochis, Michael Bloodgood:
Impact of Batch Size on Stopping Active Learning for Text Classification. CoRR abs/1801.07887 (2018) - 2017
- [i20]Alan Mishler, Kevin Wonus, Wendy Chambers, Michael Bloodgood:
Filtering Tweets for Social Unrest. CoRR abs/1702.06216 (2017) - [i19]Michael Bloodgood, Benjamin Strauss:
Using Global Constraints and Reranking to Improve Cognates Detection. CoRR abs/1704.07050 (2017) - [i18]Michael Bloodgood, Benjamin Strauss:
Acquisition of Translation Lexicons for Historically Unwritten Languages via Bridging Loanwords. CoRR abs/1706.01570 (2017) - 2016
- [i17]Michael Bloodgood, Benjamin Strauss:
Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection. CoRR abs/1602.07807 (2016) - 2015
- [i16]Benjamin S. Mericli, Michael Bloodgood:
Annotating Cognates and Etymological Origin in Turkic Languages. CoRR abs/1501.03191 (2015) - [i15]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 abs/1502.01682 (2015) - [i14]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 abs/1503.01190 (2015) - [i13]Michael Bloodgood, John Grothendieck:
Analysis of Stopping Active Learning based on Stabilizing Predictions. CoRR abs/1504.06329 (2015) - [i12]Michael Bloodgood, Benjamin Strauss:
Translation Memory Retrieval Methods. CoRR abs/1505.05841 (2015) - 2014
- [i11]Michael Bloodgood, K. Vijay-Shanker:
An Approach to Reducing Annotation Costs for BioNLP. CoRR abs/1409.3881 (2014) - [i10]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 abs/1409.4835 (2014) - [i9]Michael Bloodgood, K. Vijay-Shanker:
A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping. CoRR abs/1409.5165 (2014) - [i8]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 abs/1409.7085 (2014) - [i7]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 abs/1410.4868 (2014) - [i6]Michael Bloodgood, Chris Callison-Burch:
Using Mechanical Turk to Build Machine Translation Evaluation Sets. CoRR abs/1410.5491 (2014) - [i5]Michael Bloodgood, Chris Callison-Burch:
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation. CoRR abs/1410.5877 (2014) - [i4]David M. Zajic, Michael Maxwell, David S. Doermann, Paul Rodrigues, Michael Bloodgood:
Correcting Errors in Digital Lexicographic Resources Using a Dictionary Manipulation Language. CoRR abs/1410.7787 (2014) - [i3]Paul Rodrigues, David M. Zajic, David S. Doermann, Michael Bloodgood, Peng Ye:
Detecting Structural Irregularity in Electronic Dictionaries Using Language Modeling. CoRR abs/1410.8149 (2014) - [i2]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 abs/1410.8553 (2014) - [i1]John E. Miller, Michael Bloodgood, Manabu Torii, K. Vijay-Shanker:
Rapid Adaptation of POS Tagging for Domain Specific Uses. CoRR abs/1411.0007 (2014)
Coauthor Index
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