The Icelandic Causation of Experience Construction Implications for Syntax and Semantics Anton Karl Ingason University of Pennsylvania

Source URL: www.macsim.us

Operational Semantics Jan Midtgaard Winter School, Day 2 http://janmidtgaard.dk/aiws15/ Saint Petersburg, Russia, 2015

Source URL: janmidtgaard.dk

A Demo for efficient human Attention Detection based on Semantics and Complex Event Processing Yongchun Xu1), Ljiljana Stojanovic1), Nenad Stojanovic1), Tobias Schuchert2) 1) FZI Research Center for Information Technolo

Source URL: 2012.eswc-conferences.org

Introduction Continuous Approximation Fluid-Flow Semantics

Source URL: homepages.inf.ed.ac.uk

Native x86 Decompilation using Semantics-Preserving Structural Analysis and Iterative Control-Flow Structuring Abstract Such scenarios preclude direct use of source-based

Source URL: users.ece.cmu.edu

Bridging the Gap between Structured and Unstructured Health-Care Data ∗ through Semantics and Sentics Erik Cambria

Source URL: www.websci11.org

General Semantics Bulletin 10

Source URL: www.generalsemantics.org

• American women in business
• Barbara Morgan
• Dance
• Martha Graham
• Visual arts
• Photomontage
• General semantics
• Entertainment

Journal of Memory and Language 40, 409 – Article ID jmla, available online at http://www.idealibrary.com on Argumenthood and English Prepositional Phrase Attachment Carson T. Schu¨tze Department o

Source URL: tedlab.mit.edu

• Syntax
• Linguistics
• Cognitive science
• Syntactic categories
• Grammar
• Semantics
• Semiotics
• Grammatical modifier
• Predicate
• Lexical semantics
• Noun phrase
• Phrase

Visual and Semantic Similarity in ImageNet Thomas Deselaers1,2 and Vittorio Ferrari1 2 1

Source URL: thomas.deselaers.de

• Artificial intelligence
• Computer vision
• Vision
• Computational linguistics
• ImageNet
• Semantics
• Image processing
• Semantic similarity
• WordNet
• Prototype theory
• One-shot learning
• Visual descriptor

Automatic adaptation of Proper Noun Dictionaries through cooperation of machine learning and probabilistic methods Georgios Petasis, Alessandro Cucchiarelli(*),Paola Velardi(§), Georgios Paliouras, Vangelis Karkaletsis,

Source URL: wwwusers.di.uniroma1.it

• Linguistics
• Computational linguistics
• Machine learning
• Artificial intelligence
• Cognition
• Natural language processing
• Semantics
• Statistical classification
• Word-sense disambiguation
• Parsing
• Supervised learning
• Probabilistic classification