CS224N/Ling237 Final Projects 2001
These are final projects from CS224N/Ling237 for Spring 2000/2001.
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Mockingbird: A stylistic text imitation system
- Annaka Kalton
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Categorizing Documents Based on Learned Rules
- Laura Back & Alexei Kosut
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Learning Hypernyms from Corpora
- Alex Gruenstein
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EMU: A Web Portal Generator
- Aaron R. Bradley & Andrew M. Bradley
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Probabilistic Models for Automatic Text Classification
- Sep Kamvar & Carla Pinon
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Bayesian Smoothing Through Text Classification
- Tom Griffiths
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Extracting Collocations From a Corpus and Finding Relations Between Them
- Alex Khomenko & Nickolay Stanev
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Extracting "Who is?" Data From Web Pages
- Justin Lessler
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Information Extraction with Hidden Markov Models
- Jim McFadden
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Automatic Classification of Previously Unseen Proper Noun Phrases into Semantic Categories Using an N-Gram Letter Model
- Stephen Patel & Joseph Smarr
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Text Summarization System
- Matthew Chiu
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Usenet (or Email) Message Thread Analyzer
- Matt Ginzton
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Hidden Markov Models for Information Extraction
- Nancy R. Zhang
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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>
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