Statistical NLP group

Greetings! This is the web site of the Stat-NLP group (Statistical Natural Language Processing group) at University of Waterloo. In September 1999, this group was initialized by Prof. Dale Schuurmans, and were enthusiastically participated by Prof. Nick Cercone, Prof. Frank Tompa, Prof. Chrysanne DiMarco, Prof. Charlie Clarke, and their graduate students.

We meet weekly to learn and discuss our research on many areas in statistical NLP. The current main interests of the group include: statistical language modeling, information extraction, information retrieval,question answering, parsing, text mining, data mining, text categorization, document clustering,speech recognition, etc.

Group Meetings

Next meeting:
Time:	12:00 noon, April 4th, 2003
Place:	DC2306 C
Speaker:	Yingwei Wang
Topic:	The Design and Analysis of the Binary One Algorithm
Abstract:	The Binary One Algorithm is a time-efficient and space-efficient algorithm that retrieves high-frequency words from a document collection. This algorithm can be used to explore topics of a document collection. Its time cost is O(nE); its space cost is O(log(n)E), where n is the number of words (excluding stopwords) in the document collection and E is the maximal word length. The Binary One Algorithm uses a special strategy. As its name suggests, the algorithm's behavior is related to the number of ONEs in a binary representation. Inevitably the following questions need to be answered: Why do we devise such an algorithm? Why does this algorithm work in this way? Why is the number of ONEs in a binary representation helpful? The aim of this seminar is to introduce the Binary One Algorithm and analyze its behavior.
Meeting archive

Tentative Future Speaker List

Date

Speaker

Topic

Group E-mail List

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Current Members

(new graduate students interested in statNLP are most welcome to join us! just send a message to Fuchun Peng to add your name here):

Professors:	Dale Schuurmans	Frank Tompa	Chrysanne DiMarco	Nick Cercone	Charlie Clarke
Students:	Fuchun Peng	ZhenMei Gu	Steve Engels	Michael Fleming
	Peter Vanderheyden	Jiye Li	Alfred Renaud	Daming Yao
	Tony Abou-Assaleh	Xiangdong An	Robert H. Warren	Yingwei Wang
Post Docs:	Shaojun Wang	Jimmy Huang
Visitors:	Kanlaya Naruedomkul	Naruemon Wattanapongsakorn	Lalita	Hathai

Former Members

Vlado Keselj, PhD, 2002, assistant Professor at CS of University of Dalhousie

Reem Al-Halimi, PhD, 2002

Kristjansson, Trausti: Ph.D. (2002) now postdoc fellow at UofToronto

Amit Dubey:MMath (2001), now PhD student at Universitdt des Saarlandes

Jianchao Han:Ph.D.(2001): assistant professor at California State University

Books

Foundations of Statistical Natural Language Processing, Christopher D.Manning and Hinrich Schütze, MIT Press, ISBN: 0-262-13360-1

Courses

Statistical Natural Language Processing: Models and Method Spring, 2002

Available slides

Chap 3 Linguistic Essential	Chap4 Corpus-based work	Chapter 5: Collocation part 1, part 2
Chap 6 Statistical inference	Chap7: Word Sense Disambiguation	Chapter 8:Lexicalization Part 2

Resources

Data, Readme

Conferences:Collection of interesting conferences

Bibliography:Some bibliography of research papers on IE,TM,word segmentation,POS tagging,semi-supervised learning,language modeling,maximum entropy models