Transition-based Dependency Parsing Using Recursive Neural Networks Pontus Stenetorp* | National Institute of Informatics, Tokyo, Japan | *

Source URL: pontus.stenetorp.se

• Artificial intelligence
• Artificial neural networks
• Natural language parsing
• Recursive neural network
• Grammar
• Parsing
• Deep learning
• Dependency grammar
• Syntax

C Group: Members’ Presentations Alan Maley You and Your Voice: Use it or lose it! Where do New Ideas Come from? The Power of Creative Writing. Fostering Creativity Through Writing Stories.

Source URL: thecreativitygroup.weebly.com

• Education
• Educational psychology
• Learning
• Language-teaching methodology
• Language education
• Creativity
• Storytelling
• Educational technology

Robot Diaries Presentation Rubric Name: __________________________________________________________________________ Seminar: ___________________ Date: __________________________________________ CATEGORY 4

Source URL: phaven-prod.s3.amazonaws.com

• Language
• Learning to read
• Lexicography
• Vocabulary
• Robot

Humanising Language Teaching_Year 6; Issue 1; JanuaryThe Learning School - A school culture in which the entire staff is encouraged to engage in personal learning which feeds organisational transformation, and vic

Source URL: lamsig.iatefl.org

Helium, for Learning Haskell Bastiaan Heeren Daan Leijen Arjan van IJzendoorn

Source URL: research.microsoft.com

• Software engineering
• Computer programming
• Programming language theory
• Functional languages
• Type theory
• Data types
• Functional programming
• Literate programming
• Haskell
• Type class
• Type inference
• OCaml

Personifying Programming Tool Feedback Improves Novice Programmersʼ Learning Michael J. Lee and Andrew J. Ko The Information School | DUB Group University of Washington {mjslee, ajko}@uw.edu

Source URL: faculty.washington.edu

• Education
• Educational psychology
• English-language films
• Behavior
• Software
• Cognition
• Experimental psychology
• Human behavior
• Motivation
• Educational technology
• Subroutine
• Gidget

Rehabilitation of Count-based Models for Word Vector Representations R´ emi Lebret1,2 and Ronan Collobert1 Idiap Research Institute, Martigny, Switzerland

Source URL: ronan.collobert.com

• Artificial intelligence
• Machine learning
• Learning
• Natural language processing
• Multivariate statistics
• Artificial neural networks
• Statistics
• Semantics
• Word embedding
• Latent semantic analysis
• Word2vec
• Principal component analysis

Simon Smith, Alice Chen and Adam Kilgarriff A CORPUS QUERY TOOL FOR SLA: LEARNING MANDARIN WITH THE HELP OF SKETCH ENGINE 1. Introduction Sketch Engine (SkE) is a corpus query tool which accesses large linguistic corpor

Source URL: kilgarriff.co.uk

• Applied linguistics
• Corpus linguistics
• Language education
• Lexicography
• Language acquisition
• Collocation
• Sketch Engine
• Computer-assisted language learning
• Vocabulary
• Word sketch
• Concordance
• English as a second or foreign language

Transfer Learning Across Relational and Uncertain Domains: A Language-Bias Approach Raksha Kumaraswamy Phillip Odom

Source URL: www.indiana.edu

• Logic
• Linguistics
• Cognitive science
• Cybernetics
• Learning
• Machine learning
• First-order logic
• Logic programming
• Clause
• Predicate
• Algorithm

Odyssey 2012 The Speaker and Language Recognition WorkshopJune 2012, Singapore Description and analysis of the Brno276 system for LRE2011 Niko Br¨ummer,2 Sandro Cumani,3 Ondˇrej Glembek,1 Martin Karafi´at,1 Pav

Source URL: www.fit.vutbr.cz

• Algebra
• Mathematics
• Vectors
• Abstract algebra
• Linear algebra
• Machine learning
• Computer accessibility
• Speech recognition
• Euclidean vector
• Pattern recognition
• National Institute of Standards and Technology
• Calibration