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Computational Linguistics and Information Processing

 
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= Fall 2010 =
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<center>[[Image:teach_hal.jpg|center|504px|x]]</center>
  
== Computational Linguistics I (Daume) ==  
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== Fall 2017 ==  
Fundamental methods in natural
 
language processing. Topics include: finite-state methods, context-free and extended context-free models
 
of syntax; parsing and semantic interpretation; n-gram and Hidden Markov models, part-of-speech
 
tagging; natural language applications such as machine translation, automatic summarization, and
 
question answering.
 
  
== Seminar in Computational Linguistics (Resnik) ==
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* Computational Linguistics I (Carpuat)
This advanced seminar will focus on computational modeling of language, including cognitive/linguistic
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* Multidisciplinary Seminar (Resnik)
aspects as well as practical language technology. Bayesian and information theoretic approaches will
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* [http://www.umiacs.umd.edu/~jbg/teaching/CMSC_726/ Machine Learning] (Boyd-Graber)
figure prominently. The seminar will combine reviewing fundamental material, taking a reading-group
 
approach to key advanced papers, and (hopefully) bringing in guest speakers. Cross-disciplinary
 
participation is strongly encouraged.  ([http://umiacs.umd.edu/~resnik/ling848_fa2010/ Course Web page])
 
  
== Machine Learning (Getoor) ==
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== Spring 2017 ==  
Reviews and analyzes both traditional
 
symbol-processing methods and genetic algorithms as approaches to machine learning. (Neural network
 
learning methods are primarily covered in CMSC 727.) Topics include induction of decision trees and
 
rules, version spaces, candidate elimination algorithm, exemplar-based learning, genetic algorithms,
 
evolution under artificial selection of problem-solving algorithms, system assessment, comparative
 
studies, and related topics.
 
  
= Spring 2010 =
+
* Computational Linguistics II (Resnik)
  
== Computational Linguistics II (Resnik) ==
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* Computational Psycholinguistics (Feldman)
  
This is the second semester in our graduate sequence in computational linguistics. Students are assumed to have taken the first semester (Ling723/CMSC723) or equivalent, and this class will provide foundations for advanced seminars in computational linguistics. Students are expected to be able to know how to program, and will exercise this ability periodically in homework assignments and/or projects.  The topics we'll cover are intended to get students up to speed on necessary background in order to understand and perform cutting-edge research in natural language processing, which requires a strong grounding in statistical NLP models and methods. Some of the topics are in the same areas as in Computational Linguistics I, but we will go deeper. As always, the syllabus is subject to revision; however, it will follow Manning and Schuetze's textbook relatively closely at least in early parts of the course.  ([http://www.umiacs.umd.edu/~resnik/ling773_sp2010/ Recent course Web page])
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== Fall 2016 ==
  
== Cloud Computing (Boyd-Graber) ==
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* Computational Linguistics I (Carpuat)
 +
* Reinforcement Learning (Daume)
 +
* Computational Models of Human Parsing (Resnik)
 +
 
 +
== Spring 2016 ==  
 +
 
 +
* Computational Linguistics II (Resnik)
 +
* Machine Learning (Daume)
 +
 
 +
== Fall 2015 ==
 +
 
 +
* Computational Linguistics I (Carpuat)
 +
* Computational Social Science (Resnik)
 +
 
 +
== Spring 2015 ==
 +
 
 +
* Computational Linguistics II (Resnik)
 +
* Computational Psycholinguistics (Feldman)
 +
* Multilingual Natural Language Processing (Carpuat)
 +
 
 +
== Fall 2014 ==
 +
 
 +
* Computational Linguistics I (Daume)
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* [http://www.umiacs.umd.edu/~resnik/ling848_fa2014/ Semantics in Computational Linguistics] (Resnik)
 +
 
 +
== Spring 2014 ==
 +
 
 +
* [https://sites.google.com/site/linguisticprediction/ Linguistic Prediction] (Daume, Feldman, Lau)
 +
* Computational Linguistics II (Resnik)
 +
* [http://www.umiacs.umd.edu/~jbg/teaching/DATA_DIGGING/ Digging into Data] (Boyd-Graber)
 +
 
 +
== Fall 2013 ==
 +
 
 +
* Computational Linguistics I (Boyd-Graber)
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* [http://www.umiacs.umd.edu/~resnik/ling848_fa2013/ Computational Social Science] (Resnik)
 +
 
 +
== Spring 2013 ==
 +
 
 +
* [https://sites.google.com/site/umdnpbayes/ Bayesian Nonparametrics] (Boyd-Graber, Daume, Feldman)
 +
* Computational Linguistics II (Resnik)
 +
* [http://www.umiacs.umd.edu/~jbg/teaching/DATA_DIGGING/ Digging into Data] (Boyd-Graber)
 +
* Machine Learning (Daume)
 +
* Cloud Computing (Lin)
 +
* Computational Psycholinguistics (Feldman)
 +
 
 +
== Fall 2012 ==
 +
 
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* Computational Linguistics I (Daume)
 +
 
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== Spring 2012 ==
 +
 
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* [http://www.umiacs.umd.edu/~oard/teaching/708x/spring12/ E-Discovery] (Oard)
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* [http://www.umiacs.umd.edu/~jbg/teaching/CMSC_773_2012/ Computational Linguistics II] (Boyd-Graber)
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* Computational Psycholinguistics (Feldman)
 +
 
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== Fall 2011 ==
 +
 
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* [http://www.umiacs.umd.edu/~hollingk/classes/CompLing1-f11.html Computational Linguistics I] (Hollingshead)
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* [http://www.umiacs.umd.edu/~hal/courses/2011F_MM/ Multilingual Modeling] (Daume)
 +
 
 +
== Spring 2011 ==
 +
 
 +
* Computational Linguistics II (Resnik)
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* Computational Psycholinguistics (Feldman)
 +
 
 +
== Fall 2010 ==
 +
 
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* [http://www.umiacs.umd.edu/~hal/courses/2010F_CL1/ Computational Linguistics I] (Daume)
 +
* [http://umiacs.umd.edu/~resnik/ling848_fa2010/ Seminar in Computational Linguistics] (Resnik)
 +
* Machine Learning (Getoor)
 +
 
 +
== Spring 2010 ==
 +
 
 +
* [http://www.umiacs.umd.edu/~resnik/ling773_sp2010/ Computational Linguistics II] (Resnik)
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* [http://www.umiacs.umd.edu/~jbg/teaching/INFM_718_2011/ Cloud Computing] (Boyd-Graber)

Latest revision as of 03:05, 2 December 2017

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Fall 2017

  • Computational Linguistics I (Carpuat)
  • Multidisciplinary Seminar (Resnik)
  • Machine Learning (Boyd-Graber)

Spring 2017

  • Computational Linguistics II (Resnik)
  • Computational Psycholinguistics (Feldman)

Fall 2016

  • Computational Linguistics I (Carpuat)
  • Reinforcement Learning (Daume)
  • Computational Models of Human Parsing (Resnik)

Spring 2016

  • Computational Linguistics II (Resnik)
  • Machine Learning (Daume)

Fall 2015

  • Computational Linguistics I (Carpuat)
  • Computational Social Science (Resnik)

Spring 2015

  • Computational Linguistics II (Resnik)
  • Computational Psycholinguistics (Feldman)
  • Multilingual Natural Language Processing (Carpuat)

Fall 2014

Spring 2014

Fall 2013

Spring 2013

  • Bayesian Nonparametrics (Boyd-Graber, Daume, Feldman)
  • Computational Linguistics II (Resnik)
  • Digging into Data (Boyd-Graber)
  • Machine Learning (Daume)
  • Cloud Computing (Lin)
  • Computational Psycholinguistics (Feldman)

Fall 2012

  • Computational Linguistics I (Daume)

Spring 2012

Fall 2011

Spring 2011

  • Computational Linguistics II (Resnik)
  • Computational Psycholinguistics (Feldman)

Fall 2010

Spring 2010