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Schedule.md

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Date Topic Readings Due Lecture
1/10 Overview / FSAs JM1&2.2 L01
1/12 Morphology / FSTs JM3 L02
1/17 Syntax / Parsing JM9 L03
1/19 Syntax / Parsing JM10 L04
1/24 Language Models JMv3v4 L05
1/26 Naive Bayes JMv3Ch6 A1 L06
1/31 HMMs / Part-of-speech JMv3Ch9 Q1 L07
2/02 EM for POS JMv3Ch9 L08
2/07 PCFGs JM12 L09
2/09 PCFGs JM12 Proposal L10
2/14 Logistic Regression JMv3Ch7 L11
2/16 LR for Named Entity Rec. JMv3Ch21.1 L12
2/21 Coreference Resolution notes A2 L13
2/23 Machine Transl. / Review JM21 L14
2/24 -- Q2
2/28 Neural Nets G6 L15
3/02 Test 1
3/07 Neural Nets G6 L16
3/09 Distributed Word Repr. G6 L17
3/14 Spring Break
3/16 Spring Break
3/21 Recurrent Neural Nets G10 A3 L18
3/23 RNNs for POS G10 L19
3/28 LSTM Lipton L20
3/30 LSTM / Translation G10 Proj Milestone L21
4/04 Recursive Neural Nets G10 L22
4/06 Convolutional Nets G09 Q3 L23
4/11 Project Tips L24
4/13 Language Gen. / Review L25
4/18 The Future L26
4/20 Test 2
4/25 No Class
4/27 No Class
4/28 A4 & Report
5/3 presentation.pdf
5/4 Presentations 10:30-12:30 SB 113