Current events (2009)

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Note: everything is subject to change; please check back frequently to see current reading lists, etc.

Dates Topic Readings Lecture slides Reminders
Tu 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
Th 8-27 Evaluation, experimentation, and hypothesis testing LS2 book draft: experimentation appendix pdf
Tu 9-1 Numerical optimization LS2 book draft: optimization appendix pdf
Th 9-3 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
Tu 9-8 pdf assignment 1 out
Th 9-10

Stochastic models of sequences: Markov models, hidden Markov models, and related algorithms

Manning and Schütze, 1999 (ch. 9); Smith, 2004 pdf
Tu 9-15 some notes related to forward/backward probabilities pdf assignment 1 due
Th 9-17 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; 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.
Tu 9-22 GHC celebration (no class)
Th 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
Tu 9-29 Conditional random fields (structured log-linear models) Lafferty, McCallum, and Pereira, 2001 pdf assignment 2 due
Th 10-1 Approximate training of structured log-linear models Sutton and McCallum, 2007, Smith, Vail, and Lafferty, 2007 pdf
Tu 10-6 Stochastic and weighted context-free grammars, statistical parsing with CFGs Johnson, 1998 pdf Assignment 3 out.
Th 10-8 Charniak, 1997; Charniak, 2000; Collins, 2003; Klein and Manning, 2003; Finkel, Kleeman, and Manning, 2008; Ratnaparkhi, 1997 pdf
Tu 10-13 pdf This week: literature review progress meetings with instructor.
Th 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, Taskar, Klein, Collins, Koller, and Manning, 2004; Ratliff, Bagnell, and Zinkevich, 2006 pdf
Tu 10-20 pdf assignment 3 due
Th 10-22 Dependency parsing (guest lecture - Dipanjan Das) McDonald, Pereira, Ribarov, and Hajic, 2005; Smith and Smith, 2007; Martins, Smith, and Xing, 2009 pdf assignment 4 out
Tu 10-27 EM, word clustering, and word alignment Brown et al., 1992; Brown et al., 1993 pdf
Th 10-29 EM for NL models, contrastive estimation Merialdo, 1994; Pereira and Schabes, 1992; Klein and Manning, 2002; Smith and Eisner, 2005 pdf
Tu 11-3 pdf
Th 11-5 Bayesian NL models Blei, Ng, and Jordan, 2003; Teh et al., 2004 ; Liang and Klein's ACL 2007 tutorial pdf Literature review draft due.
Tu 11-10 pdf Assignment 4 due.
Th 11-12 Approximate inference for NL models Goldwater and Griffiths, 2007; Johnson, 2007; Beal, 2003 (ch. 3); MacKay, 1997 pdf
Tu 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
Th 11-19 pdf
Tu 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 Literature review due; assignment 5 out
Th 11-26 Thanksgiving break (no class)
Tu 12-1 Oral presentations
Th 12-3 Oral presentations assignment 5 due
TBA Final exam (room TBA)
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