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Week
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Lecture (Thursday)
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Links
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Week 1:
9/1-9/5
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Everything you ever wanted to know about linguistics, in one class!
(a.k.a. Course Overview)
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Course Syllabus
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Week 2:
9/8-9/12
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Review: Probability and Statistics
General NLP Methods: Graphical Models 1
Reading: Graphical Models in a Nutshell
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Week 3:
9/15-9/19
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General NLP Methods: Graphical Models 2
Reading: HMM Tutorial
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Week 4:
9/22-9/26
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General NLP Methods: Clustering
Reading: Clustering Tutorial
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Week 5:
9/29-10/3
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Information Retrieval 1
Reading: Index Construction (up through section 4)
Scoring, term weighting & the vector space model
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Week 6:
10/6-10/10
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Information Retrieval 2
Reading: Pseudo-relevance Feedback
Collaborative Filtering
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Week 7:
10/13-10/17
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Information Extraction 1
Reading: IE by Pattern Matching and Bootstrapping
Named-Entity Recognition with Conditional Random Fields
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Week 8:
10/20-10/24
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Information Extraction 2
Reading: Unsupervised Extraction of Named Entities from the Web
Extracting Classes and Attributes from Web Documents and Query Logs
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Week 9:
10/27-10/31
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Class cancelled (I'll be at a conference)
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Week 10:
11/3-11/7
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Open Information Extraction
Mid-term Project Report due!
Reading: Preemptive Information Extraction
Unsupervised Discovery of Generic Relationships
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Week 11:
11/10-11/14
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Sentiment Extraction
Reading: Sentiment Extraction from Unstructured Text Using Tabu Search-Enhanced Markov Blanket
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Week 12:
11/17-11/21
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Handling Synonymy and Polysemy
Reading: Broad Coverage Sense Disambiguation and Information Extraction with a Supersense Sequence Tagger
Unsupervised Resolution of Objects and Relations on the Web
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Week 13:
11/24-11/28
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Coreference Resolution
Reading:
Improving Machine Learning Approaches to Coreference Resolution
Unsupervised Models for Coreference Resolution
Thanksgiving Week
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Week 14:
12/1-12/5
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Project Presentations!
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Week 15:
12/8-12/12
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No class: study day.
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Week 16:
12/15-12/19
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Final Project Report due on Monday, Dec. 15 at 6p.m.!
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