
	[ CLSP Homepage : Search Website ] [ Workshop 2000 Homepage ]	Tuesday, May 13, 2008

The HAIRCUT System for Cross-Language Information Retrieval

Dr. James Mayfield, February 15th, 2000

Cross-language information retrieval is the retrieval of documents in one language that are relevant to a query in another language. The Hopkins Automated Information Retriever for Combing Unstructured Text (HAIRCUT) system is an information retrieval engine that exhibits exceptional performance on the cross-language retrieval task. In this talk, I will first give an overview of information retrieval, and describe the HAIRCUT approach. Next, I will show how HAIRCUT uses combination of evidence to exploit the strengths of various types of indexing terms and similarity metrics. Finally, I will describe how HAIRCUT performs cross-language retrieval, and examin its strengths and weaknesses in this task.

Biographical Information

James Mayfield is a Senior Computer Scientist at the Johns Hopkins University Applied Physics Laboratory. His doctoral work at the University of California at Berkeley was on plan recognition in dialogue systems. Since that time, he has worked in areas as diverse as hypertext systems, information extraction, and agent communication languages. Prior to joining JHU/APL, Dr. Mayfield was an associate professor of computer science at the University of Maryland Baltimore County (UMBC).

Seminar Schedule

The Center for Language and Speech Processing
The Johns Hopkins University
3400 North Charles Street, Barton Hall
Baltimore, MD 21218

Telephone: (410) 516-4237 Fax: (410) 516-5050 E-mail: clsp@clsp.jhu.edu

The Center for Language and Speech Processing The Johns Hopkins University 3400 North Charles Street, Barton Hall Baltimore, MD 21218
	Telephone: (410) 516-4237		Fax: (410) 516-5050		E-mail: clsp@clsp.jhu.edu