This course covers algorithms for associating deep or elaborated linguistic structures with naturally occurring data, covering parsing, semantics, and discourse.
|Monday and Wednesday||1:00 - 2:20 PM||Gould 435|
|Instructor||Shane Steinert-Threlkeld||Guggenheim 418-D (and Zoom)||Thursday, 2:30-4:30PM (or by appointment)|
|Teaching Assistant||Yuanhe Tian||Guggenheim 417 (the Treehouse)||Monday, 2:30 - 3:30PM; Friday, 9:30-10:30AM|
The course textbook is Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, 2nd edition, by Daniel Jurafsky and James Martin.
A copy of the book is also on reserve in the Odegaard Undergraduate Library. Click here for more information.
N.B.: The authors have a nearly-complete draft of the 3rd edition available online. Essentially every chapter that we use in this course has a corresponding version in that edition. The chapters referenced below are from the 2nd edition, but you can find the corresponding chapter in the 3rd edition either by using the website for the 3rd or by looking at the detailed table of contents on the Amazon page for the 2nd edition or here.
N.B.: All homework grading will take place on the patas cluster using Condor, so your code must run there. I strongly encourage you to ensure you have an account set up by the time of the first course meeting.
Unless explicitly mentioned below, the shared policies of the LING 57x course series apply to this course. Please read those policies for more information.
As per the policy above, all communication outside of the classroom should take place on Canvas. You can expect responses from teaching staff within 48 hours, but only during normal business hours, and excluding weekends.
N.B.: while CLMS students have a private Slack channel, I strongly encourage questions concerning course content and assignments to be posted to the Canvas discussion board, for two reasons. (i) Teaching staff will not look at Canvas, so misinformation can spread. (ii) Not every student in the course is in the CLMS program, but they deserve to be included in course discussions and likely have many of the same questions.
Washington state law requires that UW develop a policy for accommodation of student absences or significant hardship due to reasons of faith or conscience, or for organized religious activities. The UW’s policy, including more information about how to request an accommodation, is available at Religious Accommodations Policy (https://registrar.washington.edu/staffandfaculty/religious-accommodations-policy/). Accommodations must be requested within the first two weeks of this course using the Religious Accommodations Request form (https://registrar.washington.edu/students/religious-accommodations-request/).
Your experience in this class is important to me. If you have already established accommodations with Disability Resources for Students (DRS), please communicate your approved accommodations to me at your earliest convenience so we can discuss your needs in this course.
If you have not yet established services through DRS, but have a temporary health condition or permanent disability that requires accommodations (conditions include but not limited to; mental health, attention-related, learning, vision, hearing, physical or health impacts), you are welcome to contact DRS at 206-543-8924 or email@example.com or disability.uw.edu. DRS offers resources and coordinates reasonable accommodations for students with disabilities and/or temporary health conditions. Reasonable accommodations are established through an interactive process between you, your instructor(s) and DRS. It is the policy and practice of the University of Washington to create inclusive and accessible learning environments consistent with federal and state law.
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|Date||Topics||Jurafsky & Martin||Additional Readings||Assignment out||Slides|
|Sept 25||Introduction; Syntax||Chapter 1, 12||Patas and Condor||HW #1
Due Oct 2
|Sept 30||CFGs and Parsing||Chapter 12, 13.1-13.3|
|Oct 2||CKY; CNF||Chapter 13.4.1||HW #2
Due Oct 9
|Oct 7||Parsing: CKY, PCFGs||Chapter 13.4.1; 14.1|
|Oct 9||PCFGs: Algorithms and Evaluation
|Chapter 14.1-14.3; 14.7
Due Oct 16
|Oct 14||PCFGs: issues and improvement||Chapter 14.4 - 14.6|
|Oct 16||Dependency Parsing||Chapter 12.7
SLP 3: Chapter 15
de Marneffe et al, 2006
McDonald et al, 2005
Due Oct 23
|Oct 21||Dependency Parsing (cont'd) + Features||Chapter 15-15.4
SLP 3: Chapter 15
|Oct 23||Semantics Intro||Chapter 17||HW #5
Due Oct 30
|Oct 28||Semantics (cont'd)||Chapter 15.5-15.7; 17, 18|
|Oct 30||More Lambda Calculus
|Chapter 18.2||Blackburn & Bos, 1999, 2.3–2.4||HW #6
Due Nov 6
|Nov 4||Distributional semantics, I||Chapter 19.1-19.3, 20.1-20.4, 20.7, 20.10|
|Nov 6||Distributional semantics, II||Chapter 20||The Illustrated word2vec||HW #7
Due Nov 13
|Nov 11||Veterans Day: No class|
|Nov 13||Thesaurus similarity for WSD||Chapter 19.4, 20.6, 20.9, 20.10||Resnik WSD, esp. Sec 5.1||HW #8
Due Nov 20
|Nov 18||Semantic Role Labeling||Chapter 19.4, 20.4; 21.0||Jurafsky & Gildea, 2002, pp. 1-19.|
|Nov 20||Computational Discourse Reference||Chapter 21.4-21.8||Hobbs 1978||HW #9
Due Dec 4
|Nov 25||Computational Discourse Structure||Chapter 21.1-21.3|
|Nov 27||No Class|
|Dec 2||Wrap-up (I): case study + current papers|
|Dec 4||Wrap-up (II): semi-supervised learning + summary|