Michael Bloodgood

According to our database1, Michael Bloodgood authored at least 27 papers between 2006 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Impact of Stop Sets on Stopping Active Learning for Text Classification.
Proceedings of the 16th IEEE International Conference on Semantic Computing, 2022

2020
Early Forecasting of Text Classification Accuracy and F-Measure with Active Learning.
Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020

2019
The Use of Unlabeled Data Versus Labeled Data for Stopping Active Learning for Text Classification.
Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

Stopping Active Learning Based on Predicted Change of F Measure for Text Classification.
Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

2018
Support Vector Machine Active Learning Algorithms with Query-by-Committee Versus Closest-to-Hyperplane Selection.
Proceedings of the 12th IEEE International Conference on Semantic Computing, 2018

Impact of Batch Size on Stopping Active Learning for Text Classification.
Proceedings of the 12th IEEE International Conference on Semantic Computing, 2018

2017
Filtering Tweets for Social Unrest.
Proceedings of the 11th IEEE International Conference on Semantic Computing, 2017

Using Global Constraints and Reranking to Improve Cognates Detection.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Acquisition of Translation Lexicons for Historically Unwritten Languages via Bridging Loanwords.
Proceedings of the 10th Workshop on Building and Using Comparable Corpora, 2017

2016
Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection.
Proceedings of the Tenth IEEE International Conference on Semantic Computing, 2016

2015
Annotating Cognates and Etymological Origin in Turkic Languages.
CoRR, 2015

Use of Modality and Negation in Semantically-Informed Syntactic MT.
CoRR, 2015

2014
Correcting Errors in Digital Lexicographic Resources Using a Dictionary Manipulation Language.
CoRR, 2014

Detecting Structural Irregularity in Electronic Dictionaries Using Language Modeling.
CoRR, 2014

A random forest system combination approach for error detection in digital dictionaries.
CoRR, 2014

Translation memory retrieval methods.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

2013
Analysis of Stopping Active Learning based on Stabilizing Predictions.
Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013

2012
Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT.
Comput. Linguistics, 2012

Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing.
Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics, 2012

2010
Using Mechanical Turk to Build Machine Translation Evaluation Sets.
Proceedings of the 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, 2010

A Modality Lexicon and its use in Automatic Tagging.
Proceedings of the International Conference on Language Resources and Evaluation, 2010

Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach.
Proceedings of the 9th Conference of the Association for Machine Translation in the Americas: Research Papers, 2010

Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation.
Proceedings of the ACL 2010, 2010

2009
Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping.
Proceedings of the Thirteenth Conference on Computational Natural Language Learning, 2009

2008
An Approach to Reducing Annotation Costs for BioNLP.
Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing, 2008

2006
Rapid Adaptation of POS Tagging for Domain Specific Uses.
Proceedings of the Workshop on Linking Natural Language and Biology, 2006


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