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CIS 8590 Course Schedule

This is the planned schedule, but it may change.

Readings are listed on the day they are due. Read them before class -- your comments in class count towards your grade.

Week Lecture (Thursday) Links
Week 1:
Everything you ever wanted to know about computational linguistics, in one class!
(a.k.a. Course Overview)

Introduction to Morphology and Syntax

Course Syllabus

Open NLP Project
LingPipe Project
Week 2:
Review: Probability and Statistics

Graphical Models: The Hidden Markov Model

Graphical Models: Conditional Random Fields

Reading:
HMM Tutorial (Read sections I-III, first 9 pages; skim the rest)
CRF Tutorial (Read first 15 pages, through linear-chain CRFs)
Java HMM software
Java CRF package
Week 3:
Introduction to Semantics and Pragmatics

Reading: Dan Gildea's Semantic Role Labeling paper (Read sections 1-6)
Also, review the HMM and CRF tutorials from last time.
SwiRL, Mihai Surdeanu's GPL semantic role labeling software
UIUC's semantic role labeling demo
Week 4:
Introduction to Text Classification

Reading: Chapters 13 and 14 of the Introduction to Information Retrieval
Week 5:
Text Classification and Clustering

Reading: Chapters 15 and 16 of the Introduction to Information Retrieval
SVM Light
LibSVM
Week 6:
Information Retrieval

Reading: Chapters 6 and 9 of the Introduction to Information Retrieval
Apache Lucene Open-source Search Engine
Week 7:
Language Modeling and information retrieval

Reading:
Ponte and Croft's original paper on language modeling for IR
A more sophisticated document-level language model: Latent Dirichlet Allocation (LDA) (skim section 5)
Lemur Project
MALLET Project
Week 8:
Midterm and Projects
Week 9:
Information Extraction 1

Reading: IE by Pattern Matching and Bootstrapping
Table Extraction with CRFs
Week 10:
Information Extraction 2

Reading: Unsupervised Extraction of Named Entities from the Web
Extracting Classes and Attributes from Web Documents and Query Logs
Week 11:
Open IE and Wikipedia IE

Reading: Open-domain Semantic Parsing (to be emailed to you)
Autonomously Semantifying Wikipedia
Week 12:
Sentiment Extraction

Reading: Extracting Product Features and Opinions from Reviews
Opinion Spam and Analysis
Week 13:
Advanced Topics

Reading: Using Closed Captions as Supervision for Video Activity Recognition
On Social Networks and Collaborative Recommendation
Week 14:
Week 15:
Final Project Report due on Monday, May 10 at 6p.m.!