Slides from recent talks by Mark Johnson

• Using Adaptor Grammars to identify synergies in the unsupervised acquisition of linguistic structure, given at the ACL 2008, Columbus, Ohio
• Unsupervised word segmentation for Sesotho using Adaptor Grammars given at the ACL 2008 SIGMORPPHON workshop, Columbus, Ohio
• Learning Rules with Adaptor Grammars given at the University of Chicago and the special edition given at University of California, Berkeley.
• Where do the rules come from?, given at the University of Geneva, UIUC and the University of Massachusetts.
• Bayesian models of language acquisition, or Where do the rules come from? at the November 2007 conference at U Penn Bridging the Developmental Divide: Sentence Processing Meets Word and Grammar Learning
• A talk for Eugene Charniak's computational linguistics class on how to write new feature classes for the reranking parser.
• A talk for the Northeastern Computational Phonology meeting at U Mass in November, 2007 entitled A gentle introduction to Maximum Entropy models and their friends.
• Three talks given at the 2007 IPAM summer school on Probabilistic Models of Cognition: The Mathematics of Mind, including Context-Free Grammars and beyond, Statistical models for natural language parsing, and Bayesian inference of grammars.
• Transforming Projective Bilexical Dependency Grammars into efficiently parsable CFGs with Unfold-Fold by Mark Johnson at the ACL 2007 conference.
• Why doesn't EM find good HMM POS taggers? presented by Mark Johnson at the EMNLP 2007 conference.
• Bayesian Inference for PCFGs via Markov chain Monte Carlo by Johnson, Griffiths and Goldwater at the 2007 HLT/NAACL 2007 conference
• Learning Grammar(s) Statistically, invited talk at the University of Stuttgart, Opening colloquium for SFB 732, November 2006.
• Powerpoint slides from the talk "Distributional Cues to Word Boundaries: Context Is Important" by Goldwater, Griffiths and Johnson at the 2006 Boston University Conference on Language Development, November 2006.
• Slides from my talk "Features of Statistical Parsers" given at the joint Microsoft Research/University of Washington computational linguistics colloquium, October 2006.
• Slides from my talk ``Collecting, err, correcting speech errors'' at the the Eighth International Workshop on Tree Adjoining Grammar and Related Formalisms (TAG+8) at ACL/COLING 2006.
• Slides from my talk at the 2006 Mayfest meeting at the University of Maryland. The material in this talk is described in greater length in our NIPS 2005 paper Interpolating between types and tokens by estimating power-law generators and our ACL 2006 paper Contextual Dependencies in Unsupervised Word Segmentation.
• Slides from my invited talk at the 2006 CUNY conference on parsing speech corpora (discusses statistical parsing of speech, disfluency detection, etc.).
• Slides from my talk on Non-Parametric Bayesian Models for Natural Language at the Pattern Theory group in Brown's Applied Maths department in March 2006. This talk discusses how to define recursive Dirichlet processes based on Context-Free Grammars.
• Slides from my talk at the Linguistics department at the University of Hawaii.
• Slides from my invited talk at the lunch-time symposium at the 2005 Boston University Conference on Child Language Development (a DVD of the symposium will also be available from the BUCLD web site).
• Slides from my invited after-dinner talk at the ESSLLI 2005 summer school
• Slides in 1-up format and the same slides in 4-up format for my class at the ESSLLI 2005 summer school.
• I prepared some extra material on Weighted CFGs for the ESSLLI'05 course, which I didn't get around to presenting, but you might find them surprising. I also presented my CoNLL'05 talk (the next item below) during the ESSLII'05 summer school course, so you might want to look at those slides as well.
• Slides for my invited talk at the CoNLL-2005 conference
• Slides from my lecture in the TTI summer school, May 2005. "An introduction to grammars and parsing". You may also find the paper I co-authored with Stu Geman useful: "Probability and statistics in Computational Linguistics: A brief review"
• Slides from my talk at Cornell University, April 2005 "Features of Statistical Parsers"
• Slides from Johnson and Charniak's 2004 ACL talk ``A TAG-based noisy channel model of speech repairs''
• Slides from Ciaramita and Johnson's 2004 talk at the Senseval workshop at ACL'04
• Slides from Hall and Johnson's 2004 ACL talk ``Attention shifting for parsing speech''
• Slides from Goldwater and Johnson's 2004 talk at the SIGPHON workshop at ACL'04 ``Priors in Bayesian Learning of Phonological Rules
• Slides from my invited talk at the IJCNLP on Hainan Island, China, in March 2004 on Probabilistic Parsing with a Wide Variety of Features
• Slides from my talks at the University of Tokyo in March 2004 on discriminative approaches to statistical parsing and on statistical parsing and speech recognition.
• Slides from my 2003 ALTA summer school course on Grammars, graphs and automata
• Slides from my 2003 talk at the Toyota Technical Institute at the University of Chicago on Features of Statistical Parsers
• Slides from my 2003 invited talk at COLT 2003 on Learning and parsing stochastic unification-based grammars
• Stochastic ``unification-based'' grammars, a talk given at Edinburgh in January 2002, which describes how to calculate the statistics needed for parsing and estimation from packed feature structures. Available in Adobe Acrobat format.
• Slides from my talks at LFG 2002 and ACL'02 (on dynamic programming in SUBGs) and ACL'02 (on empty nodes) (all in PDF).
• A set of slides describing Neal and Hinton's (1998) paper "A view of the EM algorithm that justifies incremental, sparse, and other variants"
• Slides on CRFs and their relationship to HMMs