Tu, Jan 22, 2019
#1
Intro: Dimensions of Information Systems
Conversational Behavior and Social information
Related material:
Linguistic Coordination Toolkit
NPR Story: Before The Internet, Librarians Would 'Answer Everything' — And Still Do
Google duplex example and writeup in The Verge
--
References:
Cristian Danescu-Niculescu-Mizil, Lillian Lee, Bo Pang and Jon Kleinberg. Echoes of power: Language effects and power differences in social interaction.
Proceedings of WWW 2012.
Cristian Danescu-Niculescu-Mizil, Michael Gamon and Susan Dumais. Mark my words! Linguistic style accommodation in social media. Proceedings of WWW, 2011.
Kate G. Niederhoffer and James W. Pennebaker. Linguistic Style Matching in Social Interaction. Journal of Language and Social Psychology 2002 21: 337.
Filip Radlinsky and Nick Craswell. A Theoretical Framework for Conversational Search. Proceedings of CHIIR 2017.
Setup Quiz out (on CMS)
Assignment 0 out (on CMS)
Th, Jan 24, 2019
#2
Text similarity measures: Minimum Edit Distance
Edit Distance worksheet (includes sketch of the Wagner Fisher algorithm we used in class)
Related material
Readings:
J&M Chapters 3.11
Assignment 1 out (on CMS)
Tu, Jan 29, 2019
#3
Basic text processing concepts: Sentence Splitting, Word Tokenization, Types, Tokens
Text similarity measures: Type Overlap, Jaccard similarity
Classic (ad hoc) information retrieval systems
In-class demo: Proto Information Retrieval System: IPython notebook and html
Related material:
Readings:
J&M Chapters 3.8 and 23.1.1
Th, Jan 31, 2019
#4
Vector Space Model
Dot product similarity, Cosine similarity, Geometric intuition
Inverse document frequency (IDF)
TF-IDF weighting
In-class demo: (continued and updated) IPython notebook and html
Readings:
MRS Chapters 6.2, 6.3, 6.4.1 and 6.4.4
Assignment 2 out (on CMS)
Tu, Feb 5, 2019
#5
Term document matrix
Efficient retrieval
Inverted Index
Posting merge algorithm
Boolean search
In-class demo: (continued and updated) IPython notebook and html
Related Material:
Readings:
MRS Chapter 1
Th, Feb 7, 2019
#6
Efficient cosine similarity scoring using the inverted index (algorithm)
Fast cosine retrieval worksheet (includes sketch of the algorithm using the inverted index)
Related Material:
Inspiration for Assignment 3: QUOTUS project and interactive visualization
Readings:
MRS Chapter 6.3.3
Assignment 3 out (on CMS)
Tu, Feb 13, 2019
#7
Efficient cosine similarity scoring using the inverted index (implementation)
In-class demo: (continued and updated) IPython notebook and html
Before optimizing retrieval with inverted indexes (one query on a collection of 40,000 reality TV utterances):
After optimizing retrieval with inverted indexes (one query on a collection of 40,000 reality TV utterances):
Th, Feb 14, 2019
#8
Evaluation of ranked retrieval systems: Precision@k, Precision-recall curve, Mean Average Precision
Thinking about evaluation metrics worksheet
In-class demo: IPython notebook and html
Readings:
MSR Chapter 8
Assignment 4 out (on CMS)
Tu, Feb 20, 2019
#9
Evaluation of ranked retrieval systems: Discounted Cumulative Gain, Pooling, Annotation, K-statistic
Readings:
MSR Chapter 8
Th, Feb 22, 2019
#10
Relevance feedback, Rocchio's method for query rewriting, Pseudo-relevance feedback
Query update using relevance feedback worksheet (includes the Rocchio query update rule)
Related material
Readings:
MSR Chapters 9
Th, Feb 28, 2019
#11
Query expansion, Co-occurrence matrix, Pointwise Mutual Information
Scikit Learn basics
In-class demo: IPython notebook and html
Readings:
MSR Chapters 9
Assignment 5 out (on CMS)
Tu, Mar 5, 2019
#12
Project discussion and brainstorming session
Th, Mar 7, 2019
#13
Wrapping up Ad-hoc IR, Midterm practice
Tu, Mar 12, 2019
#14
MIDTERM - in class
Th, Mar 14, 2019
#15
Lecture topics:
Midterm discussion
Tu, Mar 19, 2019
#16
Lecture topics:
Text mining, Classifiers, Feature Representation
Th, Mar 21, 2019
#17
Lecture topics:
Naive Bayes, Generative Models, Smoothing, Linear Classifiers
Tu, Apr 9, 2019
#18
Lecture topics:
Practical unsupervised learning on textual data: Singular Value Decomposition (SVD)
In-class demo: IPython notebook
Related material:
Indexing by latent semantic analysis. Deerwester, Dumais and Harshman 1990
|