University of Toronto
Computer Science 2528, Fall 2017
Advanced Computational Linguistics
Instructor: Graeme Hirst
CSC 2528 is a participatory course. The class meets once a week for
discussions of recent research papers in computational linguistics and natural
language processing. We will cover four topics this term, spending two or
three weeks on each. In addition, a couple of sessions will be devoted to the
topics of students’ term papers.
The topics for Fall 2017 will be
- CL in a post-truth world
- CL and psychology
- CL and political texts
- Ethical issues in CL and NLP
Meetings, Fall 2017: Thursdays, 13:00 to 15:00, BA 2179, beginning Thursday 7 September.
Credit for the course will be based on in-class presentations and a
Course information sheet (PDF). For further information, contact Graeme Hirst at (The initials of his name) @cs.toronto.edu
Topics, readings, and presenters
- Organization of the course.
- Graeme: “Who decides what a text means?”
CL in a post-truth world
14 September: Background; fake news
21 September: Rumours
- Background: Leon Derczynski, Kalina Bontcheva, Maria Liakata, Rob Procter, Geraldine Wong Sak Hoi, and Arkaitz Zubiaga (2017). SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours. Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017), Vancouver, 69–76.
- Sayyed: Arkaitz Zubiaga, Maria Liakata, Rob Procter, Geraldine Wong Sak Hoi, and Peter Tolmie (2016). Analysing how people orient to and spread rumours in social media by looking at conversational threads. PLoS ONE 11(3): e0150989.
- Saša: Ahmet Aker, Leon Derczynski, and Kalina Bontcheva (2017). Simple open stance classification for rumour analysis. arXiv:1708.05286v1.
28 September: Detection of deception and other kinds of fakes
CL and psychology
5 October: Introduction; Axis I disorders
Background: Emiel Krahmer (2010). What computational linguists can learn from psychologists (and vice versa). Computational Linguistics, 36(2), June 2010, 285–294.
Philip Resnik, William Armstrong, Leonardo Claudino, Thang Nguyen, Viet-An Nguyen, and Jordan Boyd-Graber (2015).
Beyond LDA: Exploring supervised topic modeling for depression-related language in Twitter. Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, Denver, 99–107.
David N. Milne, Glen Pink, Ben Hachey, and Rafael A. Calvo (2016). CLPsych 2016 shared task: Triaging content in online peer-support forums. Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, San Diego, 118–127.
- Guest: Judy Hanwen Shen:
Judy Hanwen Shen and Frank Rudzicz (2017). Detecting anxiety on Reddit. Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology, Vancouver, 58–65.
12 October: Neurological disorders
CL and political texts
19 October: Ideology recognition.
- Graeme: Graeme Hirst, Yaroslav Riabinin, Jory Graham, Magali Boizot-Roche, and Colin Morris (2014). Text to ideology or text to party status? In: From Text to Political Positions: Text analysis across disciplines, edited by Bertie Kaal, Isa Maks, and Annemarie van Elfrinkhof, John Benjamins Publishing Company, pages 93–115.
Rachael Tatman, Amandalynne Paullada, Leo G. Stewart, and Emma S. Spiro (2017). Non-lexical features encode political affiliation on Twitter. Proceedings of the Second Workshop on Natural Language Processing and Computational Social Science, Vancouver, pages 63–67.
Daniel Preoțiuc-Pietro, Ye Liu, Daniel J. Hopkins, and Lyle Ungar (2017). Beyond binary labels: Political ideology prediction of Twitter users. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, pages 729–740.
26 October: Beyond ideology recognition.
Viet-An Nguyen, Jordan Boyd-Graber, Philip Resnik, and Kristina Miler (2015). Tea Party in the House: A hierarchical ideal point topic model and its application to Republican legislators in the 112th Congress. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Beijing, 1438–1448.
- Muuo: Stefano Menini, Federico Nanni, Simone Paolo Ponzetto, Sara Tonelli (2017). Topic-based agreement and disagreement in US electoral manifestos. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, Copenhagen, 2928–2934.
2 November: Guest speaker: Ludovic Rheault
Ethical issues in CL and NLP
16 November: Intro to ethics and issues in NLP; built-in bias in NLP systems.
The people’s choice
Presentations by students in the class based on their readings for their
- Misha, Muuo, Pashootan, Soukayna
Last modified, 5 October 2017. Comments and
corrections to Graeme Hirst at (The initials of his name) @cs.toronto.edu.