CS224N/Ling237 Final Projects 2001

These are final projects from CS224N/Ling237 for Spring 2000/2001.

Mockingbird: A stylistic text imitation system
Annaka Kalton
Categorizing Documents Based on Learned Rules
Laura Back & Alexei Kosut
Learning Hypernyms from Corpora
Alex Gruenstein
EMU: A Web Portal Generator
Aaron R. Bradley & Andrew M. Bradley
Probabilistic Models for Automatic Text Classification
Sep Kamvar & Carla Pinon
Bayesian Smoothing Through Text Classification
Tom Griffiths
Extracting Collocations From a Corpus and Finding Relations Between Them
Alex Khomenko & Nickolay Stanev
Extracting "Who is?" Data From Web Pages
Justin Lessler
Information Extraction with Hidden Markov Models
Jim McFadden
Automatic Classification of Previously Unseen Proper Noun Phrases into Semantic Categories Using an N-Gram Letter Model
Stephen Patel & Joseph Smarr
Text Summarization System
Matthew Chiu
Usenet (or Email) Message Thread Analyzer
Matt Ginzton
Hidden Markov Models for Information Extraction
Nancy R. Zhang
HMM-Based Text Extractor
Scott Sanner

Note: I've put here all the projects for which I could find online copies of the report. If yours is missing, and you would like it to appear, please send me an online copy. Conversely, if you would like yours to disappear, I can arrange that too.


http://www.stanford.edu/courses/cs224n/2001/
Christopher Manning -- <manning@cs.stanford.edu> --