{"id":4802,"date":"2020-11-09T15:42:22","date_gmt":"2020-11-09T15:42:22","guid":{"rendered":"http:\/\/developmenttwo.marymount.edu\/staff-members\/nathan-green\/"},"modified":"2021-02-15T16:32:36","modified_gmt":"2021-02-15T16:32:36","slug":"nathan-green","status":"publish","type":"staff-member","link":"https:\/\/marymount.edu\/staff-members\/nathan-green\/","title":{"rendered":"Nathan Green"},"content":{"rendered":"\r\n \r\n
\r\n\r\n\t\r\n\t\t\t\t\t\t\t\t
\"Nathan<\/div>\r\n\t\t\t\r\n\t
\r\n\t\t\t\t\r\n\t\t\t\t\t

Assistant Professor<\/p>\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\t\t

\r\n\t\t\t\t

Academic Credentials<\/b><\/p>\n

B.S. North Carolina State University, Computer Science
\nM.S. George Washington University, Computer Science
\nPh.D. Charles University, Natural Language Processing<\/p>\n

Fulbright, Iceland
\nMarie Curie Early Stage Researcher, European Union<\/p>\n

Biography<\/b><\/p>\n

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.<\/p>\n

Dr. Green\u2019s 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.\u00a0<\/p>\n

Other Information<\/b><\/p>\n

Teaching Area<\/b><\/p>\n

Computer Science
\nData Science
\nMachine Learning and AI
\nComputational Linguistics
\nGame Development
\nMobile Programming
\nSoftware Engineering<\/p>\n

Research Interests<\/b><\/p>\n

Using Natural Language Processing to Identify Disinformation
\nData-driven curriculum development and job preparedness
\nCorpus construction for under-resourced languages
\nGraph-based Language Modeling<\/p>\n

Publications<\/b><\/p>\n

BOOK CHAPTERS<\/p>\n

Hybrid Approaches to Machine Translation , Chapter: Creating Hybrid Dependency Parsers for Syntax-Based MT, Published July 2016 by Springer<\/p>\n

Practical Graph Mining with R<\/a>,<\/p>\n

Chapter 4: Link Analysis
\nChapter 5: Graph-Based Proximity Measures
\nPublished July 15, 2013 by Chapman and Hall\/CRC
\n\u00a0<\/p>\n

JOURNALS<\/p>\n

Nathan Green, Xiang Liu, Diane Murphy, \u00a0Developing an Electronic Resume Analyzer Portal (e-RAP): A Natural Language Processing Approach to Enhance College Graduates Job Readiness. Information Systems Education Journal, 2020<\/p>\n

Nathan Green, Xiang Liu, Diane Murphy, \u00a0Revisiting an Educator\u2019s Dilemma: Using Natural Language Processing to Analyze the Needs of Employers and Inform Curriculum Development. Journal of Computing Sciences in Colleges, 2019<\/p>\n

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)<\/p>\n

\u00a0<\/p>\n

PROCEEDINGS<\/p>\n

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<\/p>\n

Nathan Green and Septina Dian Larasati, \u00a0The 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<\/p>\n

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<\/p>\n

Nathan Green and Zden\u011bk \u017dabokrtsk\u00fd, 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<\/p>\n

Nathan Green,\u00a0 Septina Dian Larasati and Zden\u011bk \u017dabokrtsk\u00fd, Indonesian Dependency Treebank: Annotation and Parsing. Proceedings of the 26th Pacific Asia Conference on Language, Information and Computation (PACLIC), Bali, Indonesia, 2012<\/p>\n

Nathan Green, Loganathan Ramasamy and Zden\u011bk \u017dabokrtsk\u00fd, 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<\/p>\n

Nathan Green and Zden\u011bk \u017dabokrtsk\u00fd, Hybrid Combination of Constituency and Dependency Trees into an Ensemble Dependency Parser. Innovative hybrid approaches to the processing of textual data, Workshop EACL,\u00a0 Avignon, France, pp. 19-26, 2012<\/p>\n

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,\u00a0 Istanbul, Turkey<\/p>\n

Martin Popel, David Marecek, Nathan Green and Zden\u011bk \u017dabokrtsk\u00fd, Influence of Parser Choice on Dependency-Based MT, Proceedings of the Sixth Workshop on Statistical Machine Translation, Edinburgh, Scotland, 2011, pp. 433-439, 2011<\/p>\n

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

Nathan Green, Dependency Parsing, WDS’11 Proceedings of Contributed Papers,\u00a0 Prague Czech Republic, pp. 137-142, 2011<\/p>\n

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<\/p>\n

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>\n

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<\/p>\n

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<\/p>\n

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<\/p>\n

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<\/p>\n\t\t\t<\/div>\r\n\t\t\t\t\r\n\t\t\r\n\t\t\t<\/div>\r\n<\/div>","protected":false},"featured_media":0,"menu_order":723,"template":"","meta":{"_acf_changed":false,"_lmt_disableupdate":"","_lmt_disable":"","ngg_post_thumbnail":0},"staff-member-category":[],"acf":[],"yoast_head":"\nNathan Green | Marymount Directory<\/title>\n<meta name=\"description\" content=\"Nathan Green | Marymount Directory Information\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/marymount.edu\/staff-members\/nathan-green\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Nathan Green\" \/>\n<meta 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Professor"],"phone":["703-284-4983"],"email":["nathan.green@marymount.edu"],"address":[""],"website":[""]},"featured_image_src":false,"bio":"<b>Academic Credentials<\/b><p>B.S. North Carolina State University, Computer Science\r\nM.S. George Washington University, Computer Science\r\nPh.D. Charles University, Natural Language Processing\r\n\r\nFulbright, Iceland\r\nMarie Curie Early Stage Researcher, European Union\r\n<p><b>Biography<\/b><p><p dir=\"\"ltr\"\">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.<\/p>\r\n\r\n<p dir=\"\"ltr\"\">Dr. Green\u2019s 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.\u00a0<\/p>\r\n<p><b>Other Information<\/b><p><p><b>Teaching Area<\/b><p>Computer Science<br \/>\r\nData Science<br \/>\r\nMachine Learning and AI<br \/>\r\nComputational Linguistics<br \/>\r\nGame Development<br \/>\r\nMobile Programming<br \/>\r\nSoftware Engineering<p><b>Research Interests<\/b><p>Using Natural Language Processing to Identify Disinformation<br \/>\r\nData-driven curriculum development and job preparedness<br \/>\r\nCorpus construction for under-resourced languages<br \/>\r\nGraph-based Language Modeling<p><b>Publications<\/b><p><p dir=\"\"ltr\"\">BOOK CHAPTERS<\/p>\r\n\r\n<p dir=\"\"ltr\"\">Hybrid Approaches to Machine Translation , Chapter: Creating Hybrid Dependency Parsers for Syntax-Based MT, Published July 2016 by Springer<\/p>\r\n\r\n<p dir=\"\"ltr\"\"><a data-saferedirecturl=\"\"https:\/\/www.google.com\/url?q=https:\/\/www.crcpress.com\/product\/isbn\/9781439860847&source=gmail&ust=1587049114757000&usg=AFQjCNF_V-oxhc255eGjO8_BixwMfHmJSw\"\" href=\"\"https:\/\/www.crcpress.com\/product\/isbn\/9781439860847\"\" target=\"\"_blank\"\">Practical Graph Mining with R<\/a>,<\/p>\r\n\r\n<p dir=\"\"ltr\"\">Chapter 4: Link Analysis<br \/>\r\nChapter 5: Graph-Based Proximity Measures<br \/>\r\nPublished July 15, 2013 by Chapman and Hall\/CRC<br \/>\r\n\u00a0<\/p>\r\n\r\n<p dir=\"\"ltr\"\">JOURNALS<\/p>\r\n\r\n<p dir=\"\"ltr\"\">Nathan Green, Xiang Liu, Diane Murphy, \u00a0Developing an Electronic Resume Analyzer Portal (e-RAP): A Natural Language Processing Approach to Enhance College Graduates Job Readiness. Information Systems Education Journal, 2020<\/p>\r\n\r\n<p dir=\"\"ltr\"\">Nathan Green, Xiang Liu, Diane Murphy, \u00a0Revisiting an Educator\u2019s Dilemma: Using Natural Language Processing to Analyze the Needs of Employers and Inform Curriculum Development. Journal of Computing Sciences in Colleges, 2019<\/p>\r\n\r\n<p dir=\"\"ltr\"\">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)<\/p>\r\n\u00a0\r\n\r\n<p dir=\"\"ltr\"\">PROCEEDINGS<\/p>\r\n\r\n<p dir=\"\"ltr\"\">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<\/p>\r\n\r\n<p dir=\"\"ltr\"\">Nathan Green and Septina Dian Larasati, \u00a0The 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<\/p>\r\n\r\n<p dir=\"\"ltr\"\">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<\/p>\r\n\r\n<p dir=\"\"ltr\"\">Nathan Green and Zden\u011bk \u017dabokrtsk\u00fd, 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<\/p>\r\n\r\n<p dir=\"\"ltr\"\">Nathan Green,\u00a0 Septina Dian Larasati and Zden\u011bk \u017dabokrtsk\u00fd, Indonesian Dependency Treebank: Annotation and Parsing. Proceedings of the 26th Pacific Asia Conference on Language, Information and Computation (PACLIC), Bali, Indonesia, 2012<\/p>\r\n\r\n<p dir=\"\"ltr\"\">Nathan Green, Loganathan Ramasamy and Zden\u011bk \u017dabokrtsk\u00fd, 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<\/p>\r\n\r\n<p dir=\"\"ltr\"\">Nathan Green and Zden\u011bk \u017dabokrtsk\u00fd, Hybrid Combination of Constituency and Dependency Trees into an Ensemble Dependency Parser. Innovative hybrid approaches to the processing of textual data, Workshop EACL,\u00a0 Avignon, France, pp. 19-26, 2012<\/p>\r\n\r\n<p dir=\"\"ltr\"\">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,\u00a0 Istanbul, Turkey<\/p>\r\n\r\n<p dir=\"\"ltr\"\">Martin Popel, David Marecek, Nathan Green and Zden\u011bk \u017dabokrtsk\u00fd, Influence of Parser Choice on Dependency-Based MT, Proceedings of the Sixth Workshop on Statistical Machine Translation, Edinburgh, Scotland, 2011, pp. 433-439, 2011<\/p>\r\n\r\n<p dir=\"\"ltr\"\">Nathan Green, Effects of Noun Phrase Bracketing in Dependency Parsing and Machine Translation, Association for Computational Linguistics (ACL) Student Session, Portland, Oregon, 2011<\/p>\r\n\r\n<p dir=\"\"ltr\"\">Nathan Green, Dependency Parsing, WDS'11 Proceedings of Contributed Papers,\u00a0 Prague Czech Republic, pp. 137-142, 2011<\/p>\r\n\r\n<p dir=\"\"ltr\"\">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<\/p>\r\n\r\n<p dir=\"\"ltr\"\">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>\r\n\r\n<p dir=\"\"ltr\"\">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<\/p>\r\n\r\n<p dir=\"\"ltr\"\">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<\/p>\r\n\r\n<p dir=\"\"ltr\"\">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<\/p>\r\n\r\n<p dir=\"\"ltr\"\">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<\/p>\r\n","_links":{"self":[{"href":"https:\/\/marymount.edu\/wp-json\/wp\/v2\/staff-member\/4802"}],"collection":[{"href":"https:\/\/marymount.edu\/wp-json\/wp\/v2\/staff-member"}],"about":[{"href":"https:\/\/marymount.edu\/wp-json\/wp\/v2\/types\/staff-member"}],"wp:attachment":[{"href":"https:\/\/marymount.edu\/wp-json\/wp\/v2\/media?parent=4802"}],"wp:term":[{"taxonomy":"staff-member-category","embeddable":true,"href":"https:\/\/marymount.edu\/wp-json\/wp\/v2\/staff-member-category?post=4802"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}