Current events (2008)

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Dates Topic Readings Lecture slides Reminders
M 8-25 Philosophy: the empirical way of thinking about language Pereira, 2000; Abney, 1996; blog post on the science/engineering question - comments are especially interesting
W 8-27 Evaluation, experimentation, and hypothesis testing pdf
M 9-1 Labor day (no class)
W 9-3 Numerical optimization Dan Klein's tutorial on Lagrangean multipliers (was this helpful? let me know!) pdf
M 9-8 Weighted dynamic programming Goodman, 1999; McAllester, 2002; Eisner, Goldlust, and Smith, 2005; if you're in love, Shieber, Schabes, and Pereira, 1995 (warning: these papers focus to some extent on parsing algorithms, which won't be covered in this lecture much) pdf assignment 1 out
W 9-10 pdf Due: short summary of proposed literature review topic and hyperlinks to 6-8 papers you think are appropriate. Submit via your User page on the wiki, and link to that page from Noah's user page.
M 9-15 Stochastic models of sequences: Markov models, hidden Markov models, and related algorithms Manning and Schütze, 1999 (ch. 9); Smith, 2004 pdf
W 9-17 some notes related to forward/backward probabilities pdf assignment 1 due
M 9-22 Log-linear/exponential/maximum entropy models Log-linear model article draft sent to you by email (sections 1, 2, and 3). pdf assignment 2 out
W 9-24 Training log-linear models, maximum entropy Three tutorials: Adam Berger's tutorial; Smith, 2004, and Ratnaparkhi, 1997. Chen and Rosenfeld 1999; Rosenfeld, Chen, and Zhu, 2000; Della Pietra, Della Pietra, and Lafferty, 1995 pdf
M 9-29 Conditional random fields (structured log-linear models) Lafferty, McCallum, and Pereira, 2001 pdf assignment 2 due Tuesday 9pm
W 10-1 Review session with Kevin Gimpel (TA); brief intro to parsing pdf
M 10-6 Stochastic and weighted context-free grammars, statistical parsing with CFGs Johnson, 1998 pdf This week: literature review progress meetings with instructor. assignment 3 out
W 10-8 Charniak, 1997; Charniak, 2000; Collins, 2003; Klein and Manning, 2003 pdf
M 10-13 pdf
W 10-15 Other discriminative methods for structured data: perceptron, boosting, maximizing the margin, online methods Collins, 2002; Altun, Johnson, and Hofmann, 2003; Taskar and Klein's ACL 2005 tutorial pdf assignment 3 due (extension: now due F 10-17 at 7am)
M 10-20 pdf
W 10-22 Dependency parsing (guest lecture - Dipanjan Das and André Martins) McDonald, Pereira, Ribarov, and Hajic, 2005; Nivre and McDonald, 2008 pdf Due: literature review draft (extension: now due F 10-24 at 5pm). assignment 4 out.
M 10-27 EM, word clustering, and word alignment (guest lecture - Kevin Gimpel) Brown et al., 1992; Brown et al., 1993 pdf
W 10-29 Bayesian methods in NLP (guest lecture - Shay Cohen) Blei et al., 2003; Teh et al., 2004 pdf
M 11-3 EM for NL models, contrastive estimation Merialdo, 1994; Pereira and Schabes, 1992; Klein and Manning, 2002; Smith and Eisner, 2005 pdf
W 11-5 pdf assignment 4 due
M 11-10 Bayesian NL models Blei, Ng, and Jordan, 2003; Liang and Klein's ACL 2007 tutorial pdf
W 11-12 Approximate inference for NL models Goldwater and Griffiths, 2007; Johnson, 2007; Beal, 2003 (ch. 3); MacKay, 1997 pdf
M 11-17 Combining labeled and unlabeled data: Yarowsky algorithms, bootstrapping, self-training, co-training Yarowsky, 1995; Blum and Mitchell, 1998; Nigam and Ghani, 2000; Abney, 2004, Smith and Eisner, 2007, Mann and McCallum, 2007, McClosky et al., 2006; see also Jerry Zhu's semisupervised learning survey pdf
W 11-19 pdf
M 11-24 Weighted finite-state machines and transducers Mohri's list of references on algorithms; Eisner, 2002; Stolcke and Omohundro 1993, Kartunnen, 2001 . Tools: Xerox's FS group; AT&T FSM libraries; RWTH FSA toolkit; OpenFST pdf Due: literature review. assignment 5 out
W 11-26 Thanksgiving break (no class)
M 12-1 Oral presentations: Clark/Gonzalez, Bosaghzadeh/Schneider, Balasubramanyan, Razavian/Zollmann
W 12-3 Oral presentations: Kulkarni/Banerjee, Chaudhuri/Pino, Kang/Yano assignment 5 due Friday 12-5 at 3am
M 12-8 Final exam (1-4pm, room TBA)
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