Speaker: Dr. Chin-Hui Lee

Title: An Overview on Text Categorization

Date: March 5, 2004

Time: 3:00 pm

Location: GCATT Room 325

Abstract:

Text Categorization (TC) is a process of classifying a text document
into some pre-defined categories. It is an important research problem
in information retrieval, web text mining, and natural language processing.
Recently state-of-the-art approaches to TC have been formulated
as a pattern recognition problem in which feature extraction and machine
learning are two key components of the classifier design. In this talk we
present fundamentals in TC and show how signal processing techniques
can be incorporated into TC design and combined with natural language
processing to improve TC performance.

Biography:

Chin-Hui Lee is a professor at School of Electrical and Computer Engineering.
Dr. Lee received the B.S. degree in Electrical Engineering from
National Taiwan University, Taipei, in 1973, the M.S. degree in
Engineering and Applied Science from Yale University, New Haven, in
1977, and the Ph.D. degree in Electrical Engineering with a minor in
Statistics from University of Washington, Seattle, in 1981.

After graduation, Dr. Lee joined Verbex Corporation, Bedford, MA, and
was involved in research on connected word recognition.
In 1984, he became affiliated with Digital Sound Corporation, Santa
Barbara, where he engaged in research and product development in
speech coding, speech synthesis, speech recognition and signal
processing for the development of the DSC-2000 Voice Server.
Between 1986 and 2001, he was with Bell Laboratories, Murray Hill,
New Jersey, where he became a Distinguished Member of Technical
Staff and Director of the Dialogue Systems Research Department.
His research interests include multimedia communication,
multimedia signal and information processing, speech and speaker
recognition, speech and language modeling, spoken dialogue processing,
adaptive and discriminative learning, biometric authentication,
information retrieval, and bioinformatics. His research scope is
reflected in "Automatic Speech and Speaker
Recognition: Advanced Topics", published by the Kluwer Academic
Publishers in 1996. From August 2001 to August 2002 he was a visiting
professor at School of Computing, The National University of Singapore.
In Septeber 2002, he joined the Faculty of School of Electrical
and Computer Engineering at Georgia Institute of Technology.

Prof. Lee has participated actively in professional societies. He is
a member of the IEEE Signal Processing Society, Communication Society,
and the European Speech Communication Association. He is also a
lifetime member of the Computational Linguistics Society in Taiwan.
In 1991-1995, he was an associate editor for the IEEE Transactions
on Signal Processing and Transactions on Speech and Audio Processing.
During the same period, he served as a member of the ARPA Spoken Language
Coordination Committee. In 1995-1998 he was a member of the Speech
Processing Technical Committee of the IEEE Signal Processing Society (SPS),
and later became the chairman of the Speech TC from 1997 to 1998.
In 1996, he helped promote the SPS Multimedia Signal Processing (MMSP)
Technical Committee in which he is a founding member.

Dr. Lee is a Fellow of the IEEE, and has published more than 250
papers and 25 patents on the subject of automatic speech and speaker
recognition. He received the SPS Senior Award in 1994 and the SPS
Best Paper Award in 1997 and 1999, respectively. In 1997,
he was also awarded the prestigious Bell Labs President's Gold Award
for his contributions to the Lucent Speech Processing Solutions product.
In 2000, he was named one of the six Distinguished Lecturers by the
IEEE Signal Processing Society.

Slides:

Speaker:	Dr. Chin-Hui Lee
Title:	An Overview on Text Categorization
Date:	March 5, 2004
Time:	3:00 pm
Location:	GCATT Room 325
Abstract:	Text Categorization (TC) is a process of classifying a text document into some pre-defined categories. It is an important research problem in information retrieval, web text mining, and natural language processing. Recently state-of-the-art approaches to TC have been formulated as a pattern recognition problem in which feature extraction and machine learning are two key components of the classifier design. In this talk we present fundamentals in TC and show how signal processing techniques can be incorporated into TC design and combined with natural language processing to improve TC performance.
Biography:	Chin-Hui Lee is a professor at School of Electrical and Computer Engineering. Dr. Lee received the B.S. degree in Electrical Engineering from National Taiwan University, Taipei, in 1973, the M.S. degree in Engineering and Applied Science from Yale University, New Haven, in 1977, and the Ph.D. degree in Electrical Engineering with a minor in Statistics from University of Washington, Seattle, in 1981. After graduation, Dr. Lee joined Verbex Corporation, Bedford, MA, and was involved in research on connected word recognition. In 1984, he became affiliated with Digital Sound Corporation, Santa Barbara, where he engaged in research and product development in speech coding, speech synthesis, speech recognition and signal processing for the development of the DSC-2000 Voice Server. Between 1986 and 2001, he was with Bell Laboratories, Murray Hill, New Jersey, where he became a Distinguished Member of Technical Staff and Director of the Dialogue Systems Research Department. His research interests include multimedia communication, multimedia signal and information processing, speech and speaker recognition, speech and language modeling, spoken dialogue processing, adaptive and discriminative learning, biometric authentication, information retrieval, and bioinformatics. His research scope is reflected in "Automatic Speech and Speaker Recognition: Advanced Topics", published by the Kluwer Academic Publishers in 1996. From August 2001 to August 2002 he was a visiting professor at School of Computing, The National University of Singapore. In Septeber 2002, he joined the Faculty of School of Electrical and Computer Engineering at Georgia Institute of Technology. Prof. Lee has participated actively in professional societies. He is a member of the IEEE Signal Processing Society, Communication Society, and the European Speech Communication Association. He is also a lifetime member of the Computational Linguistics Society in Taiwan. In 1991-1995, he was an associate editor for the IEEE Transactions on Signal Processing and Transactions on Speech and Audio Processing. During the same period, he served as a member of the ARPA Spoken Language Coordination Committee. In 1995-1998 he was a member of the Speech Processing Technical Committee of the IEEE Signal Processing Society (SPS), and later became the chairman of the Speech TC from 1997 to 1998. In 1996, he helped promote the SPS Multimedia Signal Processing (MMSP) Technical Committee in which he is a founding member. Dr. Lee is a Fellow of the IEEE, and has published more than 250 papers and 25 patents on the subject of automatic speech and speaker recognition. He received the SPS Senior Award in 1994 and the SPS Best Paper Award in 1997 and 1999, respectively. In 1997, he was also awarded the prestigious Bell Labs President's Gold Award for his contributions to the Lucent Speech Processing Solutions product. In 2000, he was named one of the six Distinguished Lecturers by the IEEE Signal Processing Society.
Slides: