Refereed Publications

2020

Thomas Orth and Michael Bloodgood. Early Forecasting of Text Classification Accuracy and F-Measure with Active Learning. In Proceedings of the 2020 IEEE 14th International Conference on Semantic Computing (ICSC), pages 77-84, San Diego, CA, USA, February 2020. IEEE. (Best Paper Finalist) pdf bibtex
Article Abstract in IEEE Xplore

2019

Michael Altschuler and Michael Bloodgood. Stopping Active Learning based on Predicted Change of F Measure for Text Classification. In Proceedings of the 2019 IEEE 13th International Conference on Semantic Computing (ICSC), pages 47-54, Newport Beach, CA, USA, January 2019. IEEE. pdf bibtex
Article Abstract in IEEE Xplore

Garrett Beatty, Ethan Kochis, and Michael Bloodgood. The Use of Unlabeled Data versus Labeled Data for Stopping Active Learning for Text Classification. In Proceedings of the 2019 IEEE 13th International Conference on Semantic Computing (ICSC), pages 287-294, Newport Beach, CA, USA, January 2019. IEEE. pdf bibtex
Article Abstract in IEEE Xplore

2018

Michael Bloodgood. Support Vector Machine Active Learning Algorithms with Query-by-Committee versus Closest-to-Hyperplane Selection. In Proceedings of the 2018 IEEE 12th International Conference on Semantic Computing (ICSC), pages 148-155, Laguna Hills, CA, USA, January 2018. IEEE. pdf bibtex
Article Abstract in IEEE Xplore

Garrett Beatty, Ethan Kochis, and Michael Bloodgood. Impact of Batch Size on Stopping Active Learning for Text Classification. In Proceedings of the 2018 IEEE 12th International Conference on Semantic Computing (ICSC), pages 306-307, Laguna Hills, CA, USA, January 2018. IEEE. pdf bibtex
Article Abstract in IEEE Xplore

2017

Michael Bloodgood and Benjamin Strauss. Acquisition of Translation Lexicons for Historically Unwritten Languages via Bridging Loanwords. In Proceedings of the 10th Workshop on Building and Using Comparable Corpora, pages 21-25, Vancouver, Canada, August 2017. Association for Computational Linguistics. pdf bibtex

Michael Bloodgood and Benjamin Strauss. Using Global Constraints and Reranking to Improve Cognates Detection. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1983-1992, Vancouver, Canada, July 2017. Association for Computational Linguistics. pdf bibtex

Alan Mishler, Kevin Wonus, Wendy Chambers, and Michael Bloodgood. Filtering Tweets for Social Unrest. In Proceedings of the 2017 IEEE 11th International Conference on Semantic Computing (ICSC), pages 17-23, San Diego, CA, USA, January 2017. IEEE. pdf bibtex
Article Abstract in IEEE Xplore

2016

Hai H. Le, Monika Looney, Benjamin Strauss, Michael Bloodgood, and Antony M. Jose. Tissue homogeneity requires inhibition of unequal gene silencing during development. Journal of Cell Biology, 214(3):319-331, 2016. pdf bibtex
Article Abstract in JCB

Michael Bloodgood and Benjamin Strauss. Data cleaning for XML electronic dictionaries via statistical anomaly detection. In Proceedings of the 2016 IEEE Tenth International Conference on Semantic Computing (ICSC), pages 79-86, Laguna Hills, CA, USA, February 2016. IEEE. pdf bibtex
Article Abstract in IEEE Xplore

2014

Michael Bloodgood and Benjamin Strauss. Translation memory retrieval methods. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 202–210, Gothenburg, Sweden, April 2014. Association for Computational Linguistics. pdf bibtex

2013

Michael Bloodgood and John Grothendieck. Analysis of stopping active learning based on stabilizing predictions. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning, pages 10–19, Sofia, Bulgaria, August 2013. Association for Computational Linguistics. pdf bibtex

2012

Kathryn Baker, Michael Bloodgood, Bonnie J Dorr, Chris Callison-Burch, Nathaniel W Filardo, Christine Piatko, Lori Levin, and Scott Miller. Use of modality and negation in semantically-informed syntactic MT. Computational Linguistics, 38(2):411–438, 2012. pdf bibtex

Vinodkumar Prabhakaran, Michael Bloodgood, Mona Diab, Bonnie Dorr, Lori Levin, Christine D. Piatko, Owen Rambow, and Benjamin Van Durme. Statistical modality tagging from rule-based annotations and crowdsourcing. In Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics, pages 57-64, Jeju, Republic of Korea, July 2012. Association for Computational Linguistics. pdf bibtex

Benjamin S. Mericli and Michael Bloodgood. Annotating cognates and etymological origin in Turkic languages. In Proceedings of the First Workshop on Language Resources and Technologies for Turkic Languages, pages 47–51, Istanbul, Turkey, May 2012. European Language Resources Association. pdf bibtex

Michael Bloodgood, Peng Ye, Paul Rodrigues, David Zajic, and David Doermann. A random forest system combination approach for error detection in digital dictionaries. In Proceedings of the Workshop on Innovative Hybrid Approaches to the Processing of Textual Data, pages 78–86, Avignon, France, April 2012. Association for Computational Linguistics. pdf bibtex

2011

Paul Rodrigues, David Zajic, David Doermann, Michael Bloodgood, and Peng Ye. Detecting structural irregularity in electronic dictionaries using language modeling. In Proceedings of Electronic Lexicography in the 21st Century (eLex), pages 227–232, Bled, Slovenia, November 2011. Trojina Institute for Applied Slovene Studies. pdf bibtex

David Zajic, Michael Maxwell, David Doermann, Paul Rodrigues, and Michael Bloodgood. Correcting errors in digital lexicographic resources using a dictionary manipulation language. In Proceedings of Electronic Lexicography in the 21st Century (eLex), pages 297–301, Bled, Slovenia, November 2011. Trojina Institute for Applied Slovene Studies. pdf bibtex

2010

Kathryn Baker, Michael Bloodgood, Chris Callison-Burch, Bonnie J Dorr, Nathaniel W Filardo, Lori Levin, Scott Miller, and Christine Piatko. Semantically-informed syntactic machine translation: A tree-grafting approach. In Proceedings of the Ninth Conference of the Association for Machine Translation in the Americas (AMTA), Denver, Colorado, October 2010. pdf bibtex

Michael Bloodgood and Chris Callison-Burch. Bucking the trend: Large-scale cost-focused active learning for statistical machine translation. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pages 854–864, Uppsala, Sweden, July 2010. Association for Computational Linguistics. pdf bibtex

Michael Bloodgood and Chris Callison-Burch. Using mechanical turk to build machine translation evaluation sets. In Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk, pages 208–211, Los Angeles, California, June 2010. Association for Computational Linguistics. pdf bibtex

Kathryn Baker, Michael Bloodgood, Bonnie Dorr, Nathaniel W. Filardo, Lori Levin, and Christine Piatko. A modality lexicon and its use in automatic tagging. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10), pages 1402–1407, Valletta, Malta, May 2010. European Language Resources Association. pdf bibtex

2009

Michael Bloodgood and K. Vijay-Shanker. A method for stopping active learning based on stabilizing predictions and the need for user-adjustable stopping. In Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009), pages 39–47, Boulder, Colorado, June 2009. Association for Computational Linguistics. pdf bibtex

Michael Bloodgood and 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. In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers, pages 137–140, Boulder, Colorado, June 2009. Association for Computational Linguistics. pdf bibtex

2008

Michael Bloodgood and K. Vijay-Shanker. An approach to reducing annotation costs for BioNLP. In Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing, pages 104–105, Columbus, Ohio, June 2008. Association for Computational Linguistics. pdf bibtex

2006

John E. Miller, Michael Bloodgood, Manabu Torii, and K. Vijay-Shanker. Rapid adaptation of POS tagging for domain specific uses. In Proceedings of the HLT-NAACL BioNLP Workshop on Linking Natural Language and Biology, pages 118–119, New York, New York, June 2006. Association for Computational Linguistics. pdf bibtex