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Dr. Nathan Green

Assistant Professor

IT, Data Science, and Cybersecurity

School of Business and Technology

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Nathan Green

Contact Information

Contact via email

703-284-4983

Academic Credentials

B.S. North Carolina State University, Computer Science M.S. George Washington University, Computer Science Ph.D. Charles University, Natural Language Processing Fulbright, Iceland Marie Curie Early Stage Researcher, European Union

Teaching Areas

Computer Science
Data Science
Machine Learning and AI
Computational Linguistics
Game Development
Mobile Programming
Software Engineering

Research Interests

Using Natural Language Processing to Identify Disinformation
Data-driven curriculum development and job preparedness
Corpus construction for under-resourced languages
Graph-based Language Modeling

Bio

Dr. Green is Assistant Professor at Marymount University in the Department of Information Technology, Data Science, and Cybersecurity . He previously taught at Westfield State University in Massachusetts. Dr. Green completed his PhD in 2013 from Charles University in Prague. His time in Prague was spent as a Marie Curie Early Stage Researcher in the Institute of Formal and Applied Linguistics and was funded through the CLARA (Common Language Resources and their Applications) EU project. His research was in developing new ensemble machine learning algorithms, specifically applied to language dependency parsing.

Dr. Green’s undergraduate degree was completed at NCSU in 2003 and masters degree in Computer Science from The George Washington University in Washington DC while working for the Bureau of Labor Statistics in 2006. Before attending Charles University in Prague, he spent a year in Iceland on a Fulbright Fellowship. 

BOOK CHAPTERS

Hybrid Approaches to Machine Translation , Chapter: Creating Hybrid Dependency Parsers for Syntax-Based MT, Published July 2016 by Springer

Practical Graph Mining with R,

Chapter 4: Link Analysis
Chapter 5: Graph-Based Proximity Measures
Published July 15, 2013 by Chapman and Hall/CRC
 

JOURNALS

Nathan Green, Xiang Liu, Diane Murphy,  Developing an Electronic Resume Analyzer Portal (e-RAP): A Natural Language Processing Approach to Enhance College Graduates Job Readiness. Information Systems Education Journal, 2020

Nathan Green, Xiang Liu, Diane Murphy,  Revisiting an Educator’s Dilemma: Using Natural Language Processing to Analyze the Needs of Employers and Inform Curriculum Development. Journal of Computing Sciences in Colleges, 2019

N. Green, P. Breimyer, V. Kumar, and N.F. Samatova, BioDEAL: Community Generation of Biological Annotations, BMC Medical Informatics and Decision Making, Vol.9 Suppl 1., 2009 (Invited)

 

PROCEEDINGS

Nathan Green, Michelle (Xiang) Liu, and Diane Murphy, Developing an Electronic Resume Analyzer Portal (e-RAP): A Natural Language Processing Approach to Enhance College Graduates Job Readiness. Proceedings of the EDSIG Conference on Information Systems and Computing Education, Cleveland , Ohio, 2019

Nathan Green and Septina Dian Larasati,  The First 100 Days: A Corpus Of Political Agendas on Twitter. Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC'18), Miyazaki , Japan, 2018

Nathan Green and Septina Dian Larasati, Votter Corpus: A Corpus of Social Polling Language. Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), Reykjavik, Iceland, 2014

Nathan Green and Zdeněk Žabokrtský, Improvements to Syntax-based Machine Translation using Ensemble Dependency Parsers. Proceedings of the ACL 2013 Second Workshop on Hybrid Approaches to Translation (HyTra), Sofia, Bulgaria, 2013

Nathan Green,  Septina Dian Larasati and Zdeněk Žabokrtský, Indonesian Dependency Treebank: Annotation and Parsing. Proceedings of the 26th Pacific Asia Conference on Language, Information and Computation (PACLIC), Bali, Indonesia, 2012

Nathan Green, Loganathan Ramasamy and Zdeněk Žabokrtský, Using an SVM Ensemble System for Improved Tamil Dependency Parsing. ACL Joint Workshop on Statistical Parsing and Semantic Processing of Morphologically Rich Languages, Jeju, Republic of Korea, 2012

Nathan Green and Zdeněk Žabokrtský, Hybrid Combination of Constituency and Dependency Trees into an Ensemble Dependency Parser. Innovative hybrid approaches to the processing of textual data, Workshop EACL,  Avignon, France, pp. 19-26, 2012

Nathan Green, Building Parallel Corpora through Social Network Gaming. Collaborative Resource Development and Delivery, Workshop in The Eighth International Conference on Language Resources and Evaluation (LREC) 2012,  Istanbul, Turkey

Martin Popel, David Marecek, Nathan Green and Zdeněk Žabokrtský, Influence of Parser Choice on Dependency-Based MT, Proceedings of the Sixth Workshop on Statistical Machine Translation, Edinburgh, Scotland, 2011, pp. 433-439, 2011

Nathan Green, Effects of Noun Phrase Bracketing in Dependency Parsing and Machine Translation, Association for Computational Linguistics (ACL) Student Session, Portland, Oregon, 2011

Nathan Green, Dependency Parsing, WDS'11 Proceedings of Contributed Papers,  Prague Czech Republic, pp. 137-142, 2011

N. Green, P. Breimyer, V. Kumar, and N.F. Samatova, PackPlay: Mining semantic data in collaborative games, Association for Computational Linguistics (ACL) in the Proceedings of the Fourth Linguistic Annotation Workshop (LAWIV), Uppsala, Sweden, pp. 227-234, 2010

N. Green, P. Breimyer, V. Kumar, and N.F. Samatova, WebBANC: Building Semantically Rich Annotated Corpora from Web User Annotations of Minority Languages, 17th Nordic Conference on Computational Linguistics, Odense, Denmark, Vol. 4, pp. 48-56, 2009

P. Brent, N. Green, P. Breimyer, R. Krishnamurthy, and N.F. Samatova, Systematic Evaluation of Convergence Criteria in Iterative Training for NLP, 22nd International Florida Artificial Intelligence Research Society, Sanibel Island, Florida, 2009

N. Green, P. Breimyer, V. Kumar, and N.F. Samatova, BioDEAL: Biological data evidence annotation linkage system, IEEE International Conference on Bioinformatics & Biomedicine Workshops (BIBMW), Philadelphia, PA, pp. 99-106, 2008

N. Green, J. Kruger, C. Faldu, and R.S. Amant, A reduced QWERTY keyboard for mobile text entry, ACM's Computer Human Interaction (CHI) Conference on Human Factors in Computing Systems, Vienna, Austria: pp. 1429-1432, 2004

M. Heil, R. Fornaro, N. Green, J. Maness, and W. Webb, On becoming a winning student team: placing third in an international design competition, 34th Annual Frontiers in Education (FIE), Savannah, GA, pp. F4G-1-5 Vol. 2., 2004

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