Heads and history NIGEL VINCENT & KERSTI BÖRJARS The University of Manchester Heads come in two kinds: lexical and functional. While the former are treated in a largely uniform way across theoretical frameworks, with th

Source URL: nlp.ipipan.waw.pl

• Grammar
• Syntax
• Generative linguistics
• Syntactic categories
• Parts of speech
• Lexical functional grammar
• Head-driven phrase structure grammar
• Preposition and postposition
• Phrase structure rules
• Branching
• Dependency grammar
• Valency

Learning Generative Models via Discriminative Approaches Zhuowen Tu Lab of Neuro Imaging, UCLA Abstract

Source URL: pages.ucsd.edu

• Machine learning
• Statistical models
• Discriminative model
• Generative model
• Independent component analysis
• Image segmentation
• Gibbs sampling
• Linear classifier

Explicit realization of weak arguments* Thórhallur Eythórsson,1 Anton Karl Ingason2 & Einar Freyr Sigurðsson2 1 University of Iceland, 2 University of Pennsylvania

Source URL: linguist.is

• Personal pronouns
• Modern English personal pronouns
• Grammar
• Logophoricity
• Reflexive pronoun
• Generative linguistics
• Reflexive verb
• Pronoun
• Icelandic language
• One
• Voice
• Binding

Cognitive Science–291 Copyright © 2005 Cognitive Science Society, Inc. All rights reserved. Consequences of the Serial Nature of Linguistic Input for Sentenial Complexity Daniel J. Grodnera, Edward A. F.

Source URL: tedlab.mit.edu

• Syntax
• Grammar
• Generative linguistics
• Linguistic typology
• Semiotics
• Clause
• Locality
• Control
• Verb
• Transitive verb
• Relative clause
• Argument

What kinds of trees grow in Swedish soil? xxx yyy uuu E-mail: email@email

Source URL: tlt11.clul.ul.pt

• Applied linguistics
• Semantics
• Corpus linguistics
• Syntax
• Computational linguistics
• Treebank
• Functional generative description
• International Corpus of English
• Annotation
• Constraint Grammar
• Part-of-speech tagging
• Phrase structure rules

Inducing Wavelets into Random Fields via Generative Boosting Jianwen Xie, Yang Lu, Song-Chun Zhu, and Ying Nian Wu∗ Department of Statistics, University of California, Los Angeles, USA Abstract

Source URL: www.stat.ucla.edu

Using Probabilistic Generative Models for Ranking Risks of Android Apps Hao Peng Chris Gates

Source URL: www.cs.purdue.edu

Distilling Intractable Generative Models Iain Murray School of Informatics University of Edinburgh

Source URL: probabilistic-numerics.org

An efficient way to learn deep generative models Geoffrey Hinton Canadian Institute for Advanced Research & Department of Computer Science

Source URL: www.cs.nyu.edu

Generative Modeling by PRISM Taisuke Sato Tokyo Institute of Technology, Ookayama Meguro Tokyo Japan, http://sato-www.cs.titech.ac.jp/ Abstract. PRISM is a probabilistic extension of Prolog. It is a high

Source URL: rjida.meijo-u.ac.jp