Python basics Xiao-jiang Li, Ph. D Candidate Department of Geography, UCONN Introduction of Python • Python is ideal for non-professional programmers

Source URL: scholarscollab.uconn.edu

• Software engineering
• Software
• Computing
• Data types
• Formal languages
• Free statistical software
• Python
• NumPy
• Pandas
• String
• Scripting language
• Python syntax and semantics

A Statistical Approach to the Semantics of Verb-Particles Colin Bannard School of Informatics University of Edinburgh 2 Buccleuch Place Edinburgh EH8 9LW, UK

Source URL: lingo.stanford.edu

• Semantics
• Parts of speech
• English grammar
• Lexical semantics
• Phrasal verb
• Principle of compositionality
• Idiom
• Lexical item
• Verb
• Multiword expression
• Grammatical particle
• Copula

Detecting the Evolution of Semantics and Individual Beliefs Through Statistical Analysis of Language Use Avri Bilovich Department of Psychology, University College London, London, WC1E 6BT , United Kingdom Joanna J. Bry

Source URL: www.cs.bath.ac.uk

WWW 2009 MADRID! Track: Semantic/Data Web / Session: Mining for Semantics Measuring the Similarity between Implicit Semantic Relations from the Web

Source URL: www2009.org

• Computational linguistics
• Semantics
• Lexical semantics
• Statistical distance
• Semantic similarity
• Data mining
• Analogy
• WordNet
• Relational
• Relation
• Cosine similarity
• Hyponymy and hypernymy

Statistical Techniques for Automatically Inferring the Semantics of Verb-Particle Constructions Colin Bannard

Source URL: lingo.stanford.edu

• Linguistics
• English grammar
• Grammar
• Multiword expression
• Phrasal verb
• Complement
• Going-to future
• Copula
• Do-support
• Light verb

Incremental Models of Natural Language Category Acquisition Trevor Fountain () Mirella Lapata () Institute for Language, Cognition and Computation School of Informatics, Universit

Source URL: texasexpat.net

• Semantics
• Natural language processing
• Computational linguistics
• Statistical natural language processing
• Lexical semantics
• Document-term matrix
• Semantic similarity
• Latent Dirichlet allocation
• Cluster analysis
• Statistics
• Linguistics
• Science

Improving on Recall Errors for Coreference Resolution Claire Cardie Department of Computer Science Cornell University

Source URL: www.akbc.ws

• Parts of speech
• Semantics
• Coreference
• Statistical natural language processing
• Anaphora
• Precision and recall
• Recall
• F1 score
• Antecedent
• Linguistics
• Science
• Statistics

Harmonium Models for Semantic Video Representation and Classication Jun Yang Yan Liu∗ Eric X. Ping

Source URL: www.cs.cmu.edu

• Statistical models
• Regression analysis
• Probabilistic latent semantic analysis
• Latent Dirichlet allocation
• Expectation–maximization algorithm
• Dummy variable
• Linear discriminant analysis
• Gibbs sampling
• Semantics
• Statistics
• Statistical natural language processing
• Categorical data

Approaching the Symbol Grounding Problem with Probabilistic Graphical Models Stefanie Tellex1 and Thomas Kollar1 and Steven Dickerson and Matthew R. Walter and Ashis Gopal Banerjee and Seth Teller and Nicholas Roy Comput

Source URL: ttic.uchicago.edu

• Philosophy of language
• Symbol grounding
• Symbolism
• Robot
• Humanoid robot
• Statistical machine translation
• Science
• Philosophy of mind
• Semantics
• Linguistics
• Statistical natural language processing

Improving Word Sense Disambiguation Using Topic Features Yee Whye Teh Jun Fu Cai, Wee Sun Lee Gatsby Computational Neuroscience Unit Department of Computer Science University College London

Source URL: www.comp.nus.edu.sg

• Science
• Semantics
• Natural language processing
• Statistical classification
• Bayesian statistics
• SemEval
• Word-sense disambiguation
• Latent Dirichlet allocation
• Naive Bayes classifier
• Statistics
• Computational linguistics
• Linguistics