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Prerequisites, enrollment, related classes
Prerequisites All of the following: CS 2110
or equivalent programming experience;
a course in artificial intelligence or any relevant subfield (e.g., NLP, information retrieval, machine learning,
Cornell CS courses numbered 47xx or 67xx);
proficiency with using machine learning tools
(e.g., fluency at training an SVM, comfort with assessing a classifier’s performance using cross-validation)
Enrollment Limited to [[PhD and [CS MS] students] who meet the prerequisites]. Auditing (either officially or unofficially) is not permitted.
Piazza page http://piazza.com/cornell/Fall2018/cs6742 Course announcements and Q&A/discussion site. Social interaction and all that, you know. (Access code provided on first day of classes.)
Overview of course schedule. Details subject to change. Full schedule is maintained on the main course webpage.
Lecture
Agenda
Pedagogical purpose
Assignments
#1
Course overview
Pilot empirical study for a research idea based on readings provided.
# 2 - #3
A1 Brainstorming (Prof. DNM out)
# 4 - #7
Lecture topics related to the A1 readings: Online reviews: individual expression, community dynamics; Online asynchronous conversations.
Case studies to explore some topics and research styles find interesting. Get-to-know-you exercises to get everyone familiar and comfortable with each other.
Next block of meetings
Lectures on, potentially, linguistic coordination, linguistic adaptation, influence, persuasion, diffusion, discourse structure, advanced language modeling
Foundational material
Potentially some assignments based on the lectures.
Next block of meetings
Dicussion of proposed projects based on the readings
Practice with fast research-idea generation. Feedback as to what proposals are most interesting, most feasible, etc.
Discussion of student project proposals, based on the readings for that class meeting. Each class meeting thus involves everyone reading at least one of the two assigned papers and posting a new research proposal based on the reading to Piazza.
Thoughtfulness and creativity are most important to , but take feasibility into account.
Remainder of the course
Activities related to course projects
Development of a "full-blown" research project (although time restrictions may limit ambitions). For our purposes, "interesting" is more important than "thorough".
Some time in December (to be determined by the registrar): final project writeup due
Grading Of most interest to is productive research-oriented discussion participation (in class and on Piazza), interesting research proposals and pilot studies, and a good-faith final research project.
Academic Integrity Academic and scientific integrity compels one to properly attribute to others any work, ideas, or phrasing that one did not create oneself. To do otherwise is fraud.
We emphasize certain points here. In this class, talking to and helping others is strongly encouraged. You may also, with attribution, use the code from other sources. The easiest rule of thumb is, acknowledge the work and contributions and ideas and words and wordings of others. Do not copy or slightly reword portions of papers, Wikipedia articles, textbooks, other students' work, Stack Overflow answers, something you heard from a talk or a conversation or saw on the Internet, or anything else, really, without acknowledging your sources. See http://www.cs.cornell.edu/courses/cs6742/2011sp/handouts/ack-others.pdf and http://www.theuniversityfaculty.cornell.edu/AcadInteg/ for more information and useful examples.
This is not to say that you can receive course credit for work that is not your own — e.g., taking someone else's report and putting your name at the top, next to the other person(s)' names. However, violations of academic integrity (e.g., fraud) undergo the academic-integrity hearing process on top of any grade penalties imposed, whereas not following the rules of the assignment only risk grade penalties.
ACL anthology of all conferences, journals and workshops published under the aegis of the Association for Computational Linguistics; ACM digital library proceedings publication archive for WWW; AAAI proceedings archive for ICWSM
Bryan, Christopher J., Gregory M. Walton, Todd Rogers, and Carol S. Dweck. 2011. Motivating voter turnout by invoking the self. Proceedings of the National Academy of Sciences 108 (31): 12653-12656.
Chong, Dennis and James N. Druckman. 2007. Framing theory. Annual Review of Political Science 10:103–26.
Hopkins, Daniel J. 2017. The exaggerated life of death panels?
The limited but real influence of elite rhetoric in the 2009–2010
health care debate. Policital Behavior.
[official link]
["ungated" version]
Taraborelli, Dario and Giovanni Luca Ciampaglia. Beyond notability. Collective deliberation on content inclusion in Wikipedia. Second international workshop on quality in techno-social systems, pp. 122-125. [alt link]
#2
Aug 28: No Lecture: Prof. DNM out
#3
Aug 30: A1 Brainstorming with Jonathan P. Chang
UBC BC3 Blog Corpus: 7000 blog conversations with user-labeled comments from 6 popular websites (Slashdot, Macrumors, AndroidCentral, Dailykos, BusinessInsider, TSN). Slashdot includes "Funny" tags.
CORPS: corpus of political speeches tagged with specific audience reactions, such as APPLAUSE or LAUGHTER.
Intelligence Square Debate Dataset a collection of public debates with metadata (audience voting results pre- and post-debate, and audience reaction markers)
HCRC Map Task Corpus: 128 dialogues recorded, transcribed, and annotated for a wide range of behaviours. It references other related corpora:
The DCIEM Map Task Corpus uses very similar materials to the HCRC Map Task Corpus, but with a different structure designed to test the effects of sleep deprivation under a number of pharmaceutical conditions. The subjects were Canadian army reservists.
The Map Task Corpus has been replicated in whole or in part in a number of languages including Dutch, Italian, Japanese, Swedish, Occitan, andPortuguese. It has also been replicated in part for other forms of English besides the original Glaswegian speakers, including American English, Australian English, and some urban British dialects. The Occitan site has a list of some other language replications. The Map Task has been used to test the effects of many conditions on human communication, including stuttering, computer mediation, textual communication, and the use of avatars.
Related quote: "There is no such thing as conversation. There are intersecting monologues, that's all".
Rebecca West's short story, "There is no conversation".
Danescu-Niculescu-Mizil, Cristian, Lillian Lee, Bo Pang, and Jon Kleinberg.
2012.
Echoes of power: Language effects and power differences in social interaction.
WWW, pp. 699--708.
[ACM link]
[
paper "homepage" (paper, slides, data, etc.)]
Danescu-Niculescu-Mizil, Cristian, Robert West, Dan Jurafsky,
Jure Leskovec, and Christopher Potts. 2013.
No country for old members:
User lifecycle and linguistic change in online communities.
WWW, pp. 307--318.
[ACM link]
[
paper "homepage" ]
Prabhumoye, Shrimai, Samridhi Choudhary, Evangelia Spiliopoulou,
Christopher Bogart, Carolyn Penstein Rosé, and Alan W. Black. 2017.
Linguistic
markers of influence in informal interactions. In the Workshop on
Natural Language Processing and Computational Social Science,
53--62.
Prabhumoye, Shrimai, Samridhi Choudhary, Evangelia Spiliopoulou,
Christopher Bogart, Carolyn Penstein Rosé, and Alan W. Black. 2017.
Linguistic
markers of influence in informal interactions. In the Workshop on
Natural Language Processing and Computational Social Science,
53--62.
Flesch, Rudolf. June 1948.A new readability yardstick. Journal of Applied Psychology 32(3): 221-33. [Alternative link: the paper is bundled is the collection The Classic Readability Studies, ed. William H. DuBay. Published as Unlocking Language: The Classic Studies in Readability, BookSurge Publishing, 2007.
MRC Psycholinguistic database. Wilson, M.D. (1988) The MRC Psycholinguistic Database: Machine Readable Dictionary, Version 2. Behavioural Research Methods, Instruments and Computers, 20(1), 6-11. A search interface makes it clear what kind of features (annotations) are identified for the lexicon items.
Lim, Kenneth (who took this class!).
fightin-words 1.0.4.
Compliant with sci-kit learn and distributed by PyPI; borrows (with acknowledgment)
from Jack's version.
Final project writeup due Thursday Dec. 13, 4:30pm (date determined by the registrar).
Submit both your presentation materials and your final project writeup; but don't
spend time post-editing your presentation materials after the fact,
as I will only be using them as a reference while evaluating your
writeup.
The main evaluation criteria will be the reasonableness (in approach and amount of effort), thoughtfulness, and creativity of what you tried, as documented in your writeup. Individual effort within team projects will be taken into account; see item 3 below.
We make this requirement to facilitate submission to ICWSM 2019. However, note that your final-project submission should have your names and acknowledgments included, in a particular format (see item 1c amd 2b below); in contrast, you will want to strip any identifying information for ICWSM submissions.
AAAI prefers non-numbered section headings. You may change the style files to include section numbers in your headings for the purposes of CS6742 submission.
For the author heading, list only the names of your teammates that are enrolled in the class, even if you had external collaborators. (Reason: only students in the class are submitting the paper for a grade.) But see item 2b1 below.
Include the following sections:
"content" sections: abstract, introduction/motivation (broad question), data description (how you gathered, cleaned, and processed it), methods (discuss operationalization of the high level question), experiments (highlight which controls you've done and why they are needed), related work, references, conclusions (what you learned), directions for future work.
Make sure that your introduction section explicitly sets out your hypothesis or hypotheses.
Throughout, highlight your most interesting findings (positive or negative).
For the purposes of CS6742 submission, your related-work section does not need to be exhaustive; you may cover just a few most-related papers.
An "acknowledgments" section: give the name and state the contribution of those who you received significant help from. (This may or may not include your advisor(s), your instructor, fellow students in the class).
Authorship statement: if you intend to ask or have already arranged to have people other than your CS6742-enrolled teammates, also name each such person.
Projects done collaboratively must also include a section describing who did what. External collaborators should be included in this enumeration.
F. Jelinek, R.L. Mercer and S. Roukos. Principles of Lexical Language Modeling for Speech Recognition. Advances in Speech Signal Processing, S. Furui and J. Sondhi, Eds. M. Dekker Publishers, New York, NY 1991. Pp.651-700
Gale, William A. and Kenneth W. Church. 1994.What's wrong with adding one. Corpus-based Research Into Language: In Honour of Jan Aarts, pp. 189--200.
#22 Nov 15Mandatory projects progress-and-problems appointments
By 2pm the afternoon on Wednesday, post a Piazza followup to your proposal that summarizes your progress and what discussion points or problems you'd like to bring up with me. Ideally, this followup post will be the agenda for your team's appointment, and will make the meeting efficient and useful for you.
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