Jan 22 |
Introduction |
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NLP (circa 2001) |
Jan 24 |
" |
PDF |
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Text classification |
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M&S 7.4,16.2-16.3, Collins: Naive Bayes (Sec 1-4), Collins: Log Linear (Sec 2), MaxEnt, Baselines, CNN Classification Naive Bayes prior derivation |
Jan 29 |
No class |
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Jan 31 |
Text classification |
PDF |
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Feb 5 |
" |
PDF |
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Feb 7 |
Neural networks |
PDF |
Primer, Back-prop, Deep Averaging Networks, Gradient Checks (briefly), Gradient Checks (in details) |
Feb 12 |
Computation graphs |
PDF |
Intro to Computation Graphs |
Feb 14 |
Meta NLP |
PDF |
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Lexical semantics and embeddings |
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w2v explained, word2vec, word2vec phrases, Hill2016, Turney2010 |
Feb 19 |
PyTorch/DyNet tutorial |
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Notebooks |
Feb 21 |
Lexical semantics and embeddings |
PDF |
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Feb 26 |
No class - February break |
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Feb 28 |
" |
PDF |
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Mar 5 |
Language modeling |
PDF |
J&M 4, M&S 6, Collins: LM, Smoothing, Char RNN |
Mar 7 |
" |
PDF |
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Mar 12 |
" |
PDF |
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Sequence modeling |
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J&M 5.1-5.3, 6, M&S 3.1, 9, 10.1-10.3, Collins: HMM, Collins: MEMMs (Sec 3), Collins: CRF (sec 4), Collins: Forward-backward, SOTA Taggers, TnT Tagger, Stanford Tagger |
Mar 14 |
" |
PDF |
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Mar 19 |
" |
PDF |
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Mar 21 |
" |
PDF |
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Recurrent neural networks |
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BPTT, RNN Tutorial, Effectiveness, Luong2015 |
Mar 26 |
" |
PDF |
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Mar 28 |
" |
PDF |
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Apr 2 |
No class - Spring break |
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Apr 4 |
No class - Spring break |
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Apr 9 |
No class - Campus event |
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Apr 11 |
Dependency parsing |
PDF |
J&M 12.7, Nivre2003, Chen2014 |
Apr 16 |
" |
PDF |
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Apr 18 |
" |
PDF |
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Constituency parsing |
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J&M 12.1-12.6, 13.1-13.4, 14.1-14.4, M&S 11, 12.1, Collins: PCFGs, Eisner: Inside-outside, Collins: Inside-outside |
Apr 23 |
" |
PDF |
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Apr 25 |
" |
PDF |
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May 30 |
" |
PDF |
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May 2 |
IBM translation models |
PDF |
J&M 25.5, M&S 13.1-13.2, Collins: IBM Models, IBM Models, Collins: EM (Sec 5-6), HMM alignments, IBM Model 2 EM Notebook |
May 7 |
" |
PDF |
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Contextualized word representations |
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Annotated Transformer, Illustrated Transformer, ELMo, BERT, The Illustrated BERT, ELMo, and co. |