University of Delaware - College of Engineering
COMPUTER & INFORMATION SCIENCES

Research


Core Research Area in Natural Language Processing & Information Retrieval

Natural language processing and information retrieval constitute a major area of research and graduate study in the Department of Computer and Information Sciences at the University of Delaware. Current research interests center on strategies for understanding and the generation of descriptions of multimodal documents (i.e., documents containing information graphics), anaphora understanding and generation, , the development of robust dialogue systems, retrieval of novel and diverse URLs in web search, search over sessions of user interactions, electronic health record retrieval and analysis, statistical and corpus-based approaches to natural language processing, experimental design and statistical analysis for NLP and IR, text mining of life sciences documents, text summarization, and applying natural language processing techniques to assistive technologies for people with disabilities (particularly those with severe speech or sight impairments).

Members of our NLP group have served on or currently serve on the editorial boards of ACM Transactions on Information Systems, ACM Transactions on Accessible Computing, Computational Linguistics Journal, Information Retrieval, International Journal of Human-Computer Studies, ISRN Artificial Intelligence, Journal of Dialog Systems, Grammars and User Modeling and User-Adapted Interaction. They have served for many years as officers of the Association for Computational Linguistics, have served as general and program chair for several major conferences, and extensively serve on program committees and as workshop organizers. Research projects have been supported by grants from the National Science Foundation, the National Institutes of Health, the National Institute for Disability Research and Rehabilitation, National Institute of Food and Agriculture (USDA), and the US Army Research Lab.

Learn about Natural Language Processing & Information Retrieval Labs


Current Faculty

Timothy Bunnell, Research Associate Professor (joint appointment with Linguistics & Cognitive Science): Speech synthesis; Speech processing; Biological signal interfaces; Neural networks.

Sandra Carberry, Professor: Intelligent interfaces; Information retrieval; Natural language understanding; Response generation; Dialogue systems; User modeling; Augmentative communication systems.

Ben Carterette, Assistant Professor: Information retrieval; Experimental design; Statistical methods; Scientific methodology.

Daniel Chester, Associate Professor (joint appointment with Linguistics & Cognitive Science): Parsing.

Kathleen McCoy, Professor (joint appointment with Linguistics & Cognitive Science): Natural language processing; Text generation; Discourse phenomena; Sentence generation; Assistive technologies; Augmentative and alternative communication; Computer-aided language learning.

Vijay Shanker, Professor: Natural language processing; Parsing; Biomedical literature mining; Information extraction; Machine learning.

Hagit Shatkay, Associate Professor (joint appointment with Center for Bioinformatics and Computational Biology, and with Biomedical Engineering): Biomedical Text Mining, Information Retrieval, Machine Learning.

Courses

CISC 681 Introduction to Artificial Intelligence
CISC 683 Introduction to Data Mining
CISC 689 Introduction to Information Retrieval
CISC 689 Machine Learning
CISC 882 Natural Language Processing
CISC 883 Natural Language Generation
CISC 885 Discourse and Dialogue
CISC 889 Advanced Topics: Applications of Natural Language Processing
CISC 889 Advanced Topics: Empirical Methods in Discourse
CISC 889 Advanced Topics: Information Retrieval
CISC 889 Advanced Topics: Empirical Methods for CS
CISC 889 Advanced Topics: Spoken Language Processing
CISC 889 Advanced Topics: Statistical Approaches to NLP
CISC 889 Advanced Topics: Information Retrieval
LING 609 Syntax I
LING 610 Syntax II
LING 691 Semantics
LING 696 Psycholinguistics

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