NancyMcCracken

Nancy McCracken

Dr. McCracken is a Research Associate Professor who also teaches courses in the iSchool.  Her general research interests are in applying the principles and tools of computational linguistics to making information accessible and understandable for people.  She has participated in a wide variety of natural language processing (NLP) applications through her experience at the Center for Natural Language Processing (CNLP), including information extraction, question answering, information retrieval, knowledge representation and semantic role labeling.Dr. McCracken is currently the PI on an NSF funded project called Socio-Computational Qualitative Analysis (http://socqa.syr.edu/).  This project is building a tool based on NLP and the active learning paradigm to assist social scientists in content analysis of large quantities of text.  She has also joined an NSF funded project called the Qualitative Data Repository (https://qdr.syr.edu/) as the technical project leader.  This project is led by the Maxwell School at Syracuse University and is building an international data repository for qualitative research data, focusing initially on political science.Dr. McCracken’s past research results include new methods for machine learning for NLP, for which work she received a Best Paper Award from the IEA/AIE conference in 2008.   She also served as the PI on a grant from the Institute of Museum and Library Services with CNLP to develop software for metadata extraction of museum and library materials.  Areas of Research:  Computational Linguistics;  Machine Learning;  Data Mining;  Analysis of Language in Social Media; Knowledge Representation;  Information Extraction;  Information Retrieval;  Applications of Natural Language Processing.

Teaching

Dr. McCracken’s teaching focuses on natural language processing, but also includes data mining for enterprise applications, and information retrieval.  She has developed curriculum for and taught an introductory course in computer programming for undergraduates.  She has also recently developed a course in Mining Dr. McCracken is a Research Associate Professor who also teaches courses in the iSchool.  Her general research interests are in applying the principles and tools of computational linguistics to making information accessible and understandable for people.  Recent research projects includes an NSF funded project for using natural language processing and machine learning to assist social scientists in content analysis of text, an NSF funded project for building a qualitative data repository and a study of the language patterns of using Twitter to engage in politics.

Dr. McCracken was formerly in the Center for Natural Language Processing where she was a project leader supervising research teams for government grants and business contracts.  Past positions also include being a research scientist at the Northeast Parallel Architectures Center at Syracuse University, specializing in parallel computing languages, and as faculty in the School of Computer and Information Science at Syracuse University.

Research

Dr. McCracken’s general research interests are in applying the principles and tools of computational linguistics to making information accessible and understandable for people.  She has participated in a wide variety of natural language processing (NLP) applications through her experience at the Center for Natural Language Processing (CNLP), including information extraction, question answering, information retrieval, knowledge representation and semantic role labeling.Dr. McCracken is currently the PI on an NSF funded project called Socio-Computational Qualitative Analysis (http://socqa.syr.edu/).  This project is building a tool based on NLP and the active learning paradigm to assist social scientists in content analysis of large quantities of text.  She has also joined an NSF funded project called the Qualitative Data Repository (https://qdr.syr.edu/) as the technical project leader.  This project is led by the Maxwell School at Syracuse University and is building an international data repository for qualitative research data, focusing initially on political science.Dr. McCracken’s past research results include new methods for machine learning for NLP, for which work she received a Best Paper Award from the IEA/AIE conference in 2008.   She also served as the PI on a grant from the Institute of Museum and Library Services with CNLP to develop software for metadata extraction of museum and library materials.  Areas of Research:  Computational Linguistics;  Machine Learning;  Data Mining;  Analysis of Language in Social Media; Knowledge Representation;  Information Extraction;  Information Retrieval;  Applications of Natural Language Processing.

Personal

Outdoor activities include hiking, biking and morris dancing.  Indoor activities include culinary and fabric arts.