Concepedia

Michael Bloodgood

MB

17

Publications

531

Citations

14

H-Index

2009

Active since

Affiliations

Johns Hopkins University(Current)

University of Maryland, College Park

University of Delaware

College of New Jersey

Carnegie Mellon University

Michael Bloodgood is an author at Johns Hopkins University specializing in data science, engineering, and knowledge discovery.

Top concepts

EngineeringData ScienceMachine LearningKnowledge DiscoveryData MiningText MiningArtificial IntelligenceNatural Language ProcessingComputer ScienceSupervised Learning

Publications per year

2009–2019

17

Publications

17

Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT

Kathryn Baker, Michael Bloodgood, Bonnie J. Dorr et al. · Computational Linguistics · 2012 · 65 citations · Full text

Mn Annotation Scheme, Engineering, Part-of-speech Tagging +23

Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation

Michael Bloodgood, Chris Callison-Burch · arXiv (Cornell University) · 2014 · 62 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +22

A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping

Michael Bloodgood, K. Vijay‐Shanker · Digital Repository at the University of Maryland (University of Maryland College Park) · 2009 · 58 citations · Full text

Artificial Intelligence, User-adjustable Stopping, Engineering +19

A Modality Lexicon and its use in Automatic Tagging

Kathrin Baker, Michael Bloodgood, Bonnie J. Dorr et al. · arXiv (Cornell University) · 2014 · 49 citations · Full text

A method for stopping active learning based on stabilizing predictions and the need for user-adjustable stopping

Michael Bloodgood, K. Vijay‐Shanker · 2009 · 44 citations · Full text

Artificial Intelligence, User-adjustable Stopping, Engineering +19

Rows per page

1–5 of 17