Natural Language Processing (CMSC 470)

Logistics

Location Iribe 2207
Time Mon./Wed. 17:00pm - 18:15pm
Webpage http://umiacs.umd.edu/~jbg/teaching/CMSC_470/
Mailing List http://piazza.com/umd/spring2019/cmsc470
Text Speech and Natural Language Processing
Syllabus https://docs.google.com/document/d/1UN3qlJttJFRXP4qtoIriZxHjYQflvsUNsulHLIFVTzQ/edit?usp=sharing

People

Professor

Jordan Boyd-Graber
IRB 4146
Office Hours (IRB 4146): Starting Feb. 4, Mondays 15:00 - 16:00 and by appointment

Teaching Assistant

Pranav Goel: IRB 4134, Thursday 16:00-17:00, Friday 15:00-16:00

Schedule

Date In-Class Topic Assignment Due Lecture
Mon 28. January Introduction to the course, Probability, and Python [Video: A B] [PDF: A B]
Optional Readings:
Wed 30. Jan Information Retrieval / tf-idf [Video: A B C] [PDF: A B C D] [Class]
Readings:
Mon 4. Feb Logistic Regression and Naive Bayes [PDF A B C] [Video A B] [Class]
Readings:
  • SNLP Chapter 5.1-5.3
Wed 6. Feb Homework Lab
Fri 8. Feb Homework Due tf-idf
Mon 11. Feb Project Framework / Codalab [Video: A B C] [PDF: A B C] [Class]
Readings:
Wed 13. Feb Stochastic Gradient Descent [PDF A B] [Video A] [Class A Class B]
Readings:
  • SNLP Chapter 5.4-5.9
Fri 15. Feb Homework Due NN Question Answering
Mon 18. Feb Neural Networks for Language [Video: Deep Backprop Frameworks Pytorch DAN] [PDF: A B C D E F] [Class]
Readings:
  • SNLP 7
Wed 20. Feb Totally Unnecessary Snow Day
Readings:
Mon 25. Feb Distributional Semantics (Word2Vec) [Video: A B C] [PDF: A B C D] [Class]
Readings:
  • SNLP Chapter 6
Wed 27. Feb Expo Match I (Students) [Class]
Fri 1. Mar Homework Due Logistic Regression
Mon 4. Mar Classification and Feature Engineering [Video: Classification, Examples: A B] [PDF: Classification Examples: A B] [Class]
Readings:
  • SNLP 4
Wed 6. Mar Neural Sequence Models [PDF: A B C] [Video: RNN LSTM] [Class]
Readings:
  • SNLP 9
Fri 8. Mar Homework Due Deep Averaging Networks
Mon 11. Mar Midterm Review
Wed 13. Mar Midterm
Mon 25. Mar Question Answering [Video: Entity Recognition and Linking Coref Datasets Dr. QA] [PDF: A B C D E]
Readings:
  • SNLP 23
Wed 27. Mar Homework Lab
Mon 1. Apr Part of Speech Tagging / HMMs [Video] [A B C]
Readings:
  • SLP Chapter 8
Wed 2. Apr Constituency Parsing / PCFGs [Video] [Slides Ex]
Readings:
  • SLP Chapter 12
Fri 5. Apr HW Due Sequence Buzzer
Mon 8. Apr No Class: Meet to Discuss Project [Sign Up]
Wed 10. Apr Expo Match II (Faculty)
Fri 12. Apr Homework Due Project Proposal Due
Mon 15. Apr Machine Translation [Video: Word-Based Phrase Neural] [PDF: Word Phrase Neural Ex]
Readings:
Wed 17. Apr Topic Models [Video: Intro Evaluation Gibbs Sampling] [PDF: Topic Models Gibbs Sampling Ex]
Readings:
Mon 22. Apr Exercise Catchup (No new material)
Wed 24. Apr Project Workshop
Fri 26. Apr Homework Due First Deliverable
Mon 29. Apr Computational Social Science
Readings:
Wed 1. May AMA
Readings:
Mon 6. May Midterm Review
Wed 8. May Midterm II
Mon 13. May Expo Match III (Surprise)
Mon 20. May 16:00-18:00 Final Presentations