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PRODID:-//CS 5740//
NAME:CS 6741
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X-WR-CALNAME:CS 6741
BEGIN:VEVENT
SUMMARY:CS 6741: Assignment 1 release
DTSTART;VALUE=DATE:20210301
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Assignment 1 due
DTSTART;VALUE=DATE:20210318
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Assignment 2 release
DTSTART;VALUE=DATE:20210322
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Assignment 2 due
DTSTART;VALUE=DATE:20210406
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Assignment 3 release
DTSTART;VALUE=DATE:20210407
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Assignment 3 due
DTSTART;VALUE=DATE:20210429
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Assignment 4 (due: 8am) release
DTSTART;VALUE=DATE:20210428
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Assignment 4 (due: 8am) due
DTSTART;VALUE=DATE:20210515
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Take-home Exam release
DTSTART;VALUE=DATE:20210517
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Take-home Exam due
DTSTART;VALUE=DATE:20210521
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210208T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210208T145000
DESCRIPTION:Introduction\nSlides: https://www.cs.cornell.edu/courses/cs574
 0/2021sp/lectures/01-intro.pdf\nReadings: <a href="http://www.cs.cornell.e
 du/home/llee/papers/cstb/index.html">NLP (circa 2001)</a>\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210210T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210210T145000
DESCRIPTION:\\"\nBoard: https://www.cs.cornell.edu/courses/cs5740/2021sp/b
 oards/02-10a.pdf\n\nText classification\nSlides: https://www.cs.cornell.ed
 u/courses/cs5740/2021sp/lectures/02-textclass.pdf\nBoard: https://www.cs.c
 ornell.edu/courses/cs5740/2021sp/boards/02-10b.pdf\nReadings: M&S 7.4\,16.
 2-16.3\, **[Collins: Naive Bayes (Sec 1-4)](http://www.cs.cornell.edu/cour
 ses/cs5740/2016sp/resources/collins_em.pdf)**\, **[Collins: Log Linear (Se
 c 2)](http://www.cs.cornell.edu/courses/cs5740/2016sp/resources/collins_cr
 f.pdf)**\, **[MaxEnt](http://www.cs.cornell.edu/courses/cs5740/2016sp/reso
 urces/maxent.pdf)**\, [Baselines](http://www.cs.cornell.edu/courses/cs5740
 /2016sp/resources/baselines.pdf)\, [CNN Classification](http://www.wildml.
 com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/) [Na
 ive Bayes prior derivation](res/nb-prior.pdf)\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210215T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210215T145000
DESCRIPTION:\\"\nBoard: https://www.cs.cornell.edu/courses/cs5740/2021sp/b
 oards/02-15.pdf\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210217T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210217T145000
DESCRIPTION:\\"\nBoard: https://www.cs.cornell.edu/courses/cs5740/2021sp/b
 oards/02-17.pdf\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210222T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210222T145000
DESCRIPTION:\\"\nBoard: https://www.cs.cornell.edu/courses/cs5740/2021sp/b
 oards/02-22.pdf\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210224T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210224T145000
DESCRIPTION:\\"\nBoard: https://www.cs.cornell.edu/courses/cs5740/2021sp/b
 oards/02-24.pdf\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210301T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210301T145000
DESCRIPTION:Neural networks\nSlides: https://www.cs.cornell.edu/courses/cs
 5740/2021sp/lectures/03-nn.pdf\nBoard: https://www.cs.cornell.edu/courses/
 cs5740/2021sp/boards/03-01.pdf\nReadings: **[Primer](http://u.cs.biu.ac.il
 /~yogo/nnlp.pdf)**\, [Back-prop](http://www.cs.cornell.edu/courses/cs5740/
 2016sp/resources/backprop.pdf)\, [Deep Averaging Networks](http://www.cs.c
 ornell.edu/courses/cs5740/2016sp/resources/dans.pdf)\, [Gradient Checks (b
 riefly)](http://deeplearning.stanford.edu/wiki/index.php/Gradient_checking
 _and_advanced_optimization)\, [Gradient Checks (in details)](http://cs231n
 .github.io/neural-networks-3/)\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210303T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210303T145000
DESCRIPTION:\\"\nBoard: https://www.cs.cornell.edu/courses/cs5740/2021sp/b
 oards/03-03.pdf\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210308T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210308T145000
DESCRIPTION:Computation graphs\nSlides: https://www.cs.cornell.edu/courses
 /cs5740/2021sp/lectures/04-nn-compgraph.pdf\nBoard: https://www.cs.cornell
 .edu/courses/cs5740/2021sp/boards/03-08.pdf\nReadings: **[NN Tips](resourc
 es/nn-tips.pdf)**\, **[Intro to Computation Graphs](https://colah.github.i
 o/posts/2015-08-Backprop/)**\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210315T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210315T145000
DESCRIPTION:Meta NLP\nSlides: https://www.cs.cornell.edu/courses/cs5740/20
 21sp/lectures/05-meta-nlp.pdf\nBoard: https://www.cs.cornell.edu/courses/c
 s5740/2021sp/boards/03-15.pdf\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210317T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210317T145000
DESCRIPTION:Lexical semantics and embeddings\nSlides: https://www.cs.corne
 ll.edu/courses/cs5740/2021sp/lectures/06-lexical.pdf\nBoard: https://www.c
 s.cornell.edu/courses/cs5740/2021sp/boards/03-17.pdf\nReadings: **[w2v exp
 lained](https://arxiv.org/abs/1402.3722)**\, [word2vec](https://arxiv.org/
 abs/1301.3781)\, [word2vec phrases](https://arxiv.org/abs/1310.4546)\, [Hi
 ll2016](https://arxiv.org/pdf/1602.03483v1.pdf)\, [Turney2010](https://arx
 iv.org/pdf/1003.1141v1.pdf)\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210322T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210322T145000
DESCRIPTION:\\"\nBoard: https://www.cs.cornell.edu/courses/cs5740/2021sp/b
 oards/03-22.pdf\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210324T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210324T145000
DESCRIPTION:Language modeling\nSlides: https://www.cs.cornell.edu/courses/
 cs5740/2021sp/lectures/07-lm.pdf\nBoard: https://www.cs.cornell.edu/course
 s/cs5740/2021sp/boards/03-24.pdf\nReadings: J&M 4\, M&S 6\, **[Collins: LM
 ](http://www.cs.cornell.edu/courses/cs5740/2016sp/resources/collins_lm.pdf
 )**\, [Smoothing](http://www.cs.cornell.edu/courses/cs5740/2016sp/resource
 s/lm_chen_goodman.pdf)\, [Char RNN](http://karpathy.github.io/2015/05/21/r
 nn-effectiveness/)\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210329T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210329T145000
DESCRIPTION:\\"\nBoard: https://www.cs.cornell.edu/courses/cs5740/2021sp/b
 oards/03-29.pdf\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210331T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210331T145000
DESCRIPTION:\\"\nBoard: https://www.cs.cornell.edu/courses/cs5740/2021sp/b
 oards/03-31.pdf\n\nSequence modeling\nSlides: https://www.cs.cornell.edu/c
 ourses/cs5740/2021sp/lectures/08-seq.pdf\nBoard: https://www.cs.cornell.ed
 u/courses/cs5740/2021sp/boards/03-31b.pdf\nReadings: J&M 5.1-5.3\, 6\, M&S
  3.1\, 9\, 10.1-10.3\, **[Collins: HMM](http://www.cs.cornell.edu/courses/
 cs5740/2016sp/resources/collins_hmms.pdf)**\, **[Collins: MEMMs (Sec 3)](h
 ttp://www.cs.cornell.edu/courses/cs5740/2016sp/resources/collins_crf.pdf)*
 *\, **[Collins: CRF (sec 4)](http://www.cs.cornell.edu/courses/cs5740/2016
 sp/resources/collins_crf.pdf)**\, [Collins: Forward-backward](http://www.c
 s.cornell.edu/courses/cs5740/2016sp/resources/collins_fb.pdf)\, [SOTA Tagg
 ers](https://www.aclweb.org/aclwiki/index.php?title=POS_Tagging_(State_of_
 the_art))\, [TnT Tagger](http://arxiv.org/pdf/cs/0003055.pdf)\, [Stanford 
 Tagger](http://www.anthology.aclweb.org/W/W00/W00-1308.pdf)\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210405T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210405T145000
DESCRIPTION:\\"\nBoard: https://www.cs.cornell.edu/courses/cs5740/2021sp/b
 oards/04-05.pdf\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210407T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210407T145000
DESCRIPTION:\\"\nBoard: https://www.cs.cornell.edu/courses/cs5740/2021sp/b
 oards/04-07.pdf\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210412T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210412T145000
DESCRIPTION:\\"\nBoard: https://www.cs.cornell.edu/courses/cs5740/2021sp/b
 oards/04-12.pdf\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210414T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210414T145000
DESCRIPTION:\\"\nBoard: https://www.cs.cornell.edu/courses/cs5740/2021sp/b
 oards/04-14.pdf\n\nRecurrent neural networks\nSlides: https://www.cs.corne
 ll.edu/courses/cs5740/2021sp/lectures/09-rnn.pdf\nBoard: https://www.cs.co
 rnell.edu/courses/cs5740/2021sp/boards/04-14b.pdf\nReadings: **G14**\, **[
 BPTT](http://www.wildml.com/2015/10/recurrent-neural-networks-tutorial-par
 t-3-backpropagation-through-time-and-vanishing-gradients/)**\, [RNN Tutori
 al](http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-
 1-introduction-to-rnns/)\, [Effectiveness](http://karpathy.github.io/2015/
 05/21/rnn-effectiveness/)\, [Luong2015](https://arxiv.org/pdf/1508.04025.p
 df)\, [Einsum](https://rockt.github.io/2018/04/30/einsum)\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210419T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210419T145000
DESCRIPTION:\\"\nBoard: https://www.cs.cornell.edu/courses/cs5740/2021sp/b
 oards/04-19.pdf\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210421T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210421T145000
DESCRIPTION:\\"\nBoard: https://www.cs.cornell.edu/courses/cs5740/2021sp/b
 oards/04-21.pdf\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210428T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210428T145000
DESCRIPTION:Machine translation\nSlides: https://www.cs.cornell.edu/course
 s/cs5740/2021sp/lectures/11-mt.pdf\nBoard: https://www.cs.cornell.edu/cour
 ses/cs5740/2021sp/boards/04-28.pdf\nReadings: [Bleu score](https://www.acl
 web.org/anthology/P02-1040/)\n\nSelf-Attention and Transformers\nSlides: h
 ttps://www.cs.cornell.edu/courses/cs5740/2021sp/lectures/12-transformers.p
 df\nBoard: https://www.cs.cornell.edu/courses/cs5740/2021sp/boards/04-28b.
 pdf\nReadings: **[Annotated Transformer](http://nlp.seas.harvard.edu/2018/
 04/03/attention.html)**\, [Illustrated Transformer](https://jalammar.githu
 b.io/illustrated-transformer/)\, [Vaswani2017](https://arxiv.org/abs/1706.
 03762)\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210503T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210503T145000
DESCRIPTION:\\"\nBoard: https://www.cs.cornell.edu/courses/cs5740/2021sp/b
 oards/05-03.pdf\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210505T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210505T145000
DESCRIPTION:Contextualized representations\nSlides: https://www.cs.cornell
 .edu/courses/cs5740/2021sp/lectures/13-contextualized.pdf\nBoard: https://
 www.cs.cornell.edu/courses/cs5740/2021sp/boards/05-05.pdf\nReadings: **[BE
 RT](https://arxiv.org/abs/1810.04805)**\, **[The Illustrated BERT\, ELMo\,
  and co.](http://jalammar.github.io/illustrated-bert/)**\, [Chen2019](http
 s://arxiv.org/abs/1909.11740)\, [BERTScore](https://arxiv.org/abs/1904.096
 75)\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210510T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210510T145000
DESCRIPTION:\\"\nBoard: https://www.cs.cornell.edu/courses/cs5740/2021sp/b
 oards/05-10.pdf\n\n
END:VEVENT
BEGIN:VEVENT
SUMMARY:CS 6741: Lecture
DTSTART;TZID=US/Eastern;VALUE=DATE-TIME:20210512T133500
DTEND;TZID=US/Eastern;VALUE=DATE-TIME:20210512T145000
DESCRIPTION:Guest Lecture by <a href="https://scholar.google.com/citations
 ?user=Fn52EXUAAAAJ&hl=en">Joel Tetreault (Dataminr)</a>\n\n
END:VEVENT
END:VCALENDAR