Advances in Artificial Intelligence

1. Natural Language Processing

   1. Front Matter

      Pages 129-129

      PDF

   2. Poetry Chronological Classification: Hafez

      • Arya Rahgozar, Diana Inkpen

      Pages 131-136

   3. f: Phrase Relatedness Function Using Overlapping Bi-gram Context

      • Md. Rashadul Hasan Rakib, Aminul Islam, Evangelos Milios

      Pages 137-149

   4. Harnessing Open Information Extraction for Entity Classification in a French Corpus

      • Fabrizio Gotti, Philippe Langlais

      Pages 150-161

   5. A Novel Genetic Algorithm for the Word Sense Disambiguation Problem

      • Wojdan Alsaeedan, Mohamed El Bachir Menai

      Pages 162-167

   6. Mining Biomedical Literature: An Open Source and Modular Approach

      • Hayda Almeida, Ludovic Jean-Louis, Marie-Jean Meurs

      Pages 168-179

   7. Word Normalization Using Phonetic Signatures

      • Vincent Jahjah, Richard Khoury, Luc Lamontagne

      Pages 180-185

   8. Forecasting Canadian Elections Using Twitter

      • Kenton White

      Pages 186-191

   9. Time-Sensitive Topic-Based Communities on Twitter

      • Hossein Fani, Fattane Zarrinkalam, Ebrahim Bagheri, Weichang Du

      Pages 192-204

2. Reasoning and Learning

   1. Front Matter

      Pages 205-205

      PDF

   2. On Tree Structures Used by Simple Propagation

      • Anders L. Madsen, Cory J. Butz, Jhonatan S. Oliveira, André E. dos Santos

      Pages 207-212

   3. A Simple Method for Testing Independencies in Bayesian Networks

      • Cory J. Butz, André E. dos Santos, Jhonatan S. Oliveira, Christophe Gonzales

      Pages 213-223

   4. Flexible Approximators for Approximating Fixpoint Theory

      • Fangfang Liu, Yi Bi, Md. Solimul Chowdhury, Jia-Huai You, Zhiyong Feng

      Pages 224-236

   5. Learning Statistically Significant Contrast Sets

      • Mohomed Shazan Mohomed Jabbar, Osmar R. Zaïane

      Pages 237-242

   6. A Connection Calculus for the Description Logic \( {\mathcal{ALC}} \)

      • Fred Freitas, Jens Otten

      Pages 243-256

   7. Representation, Reasoning, and Learning for a Relational Influence Diagram Applied to a Real-Time Geological Domain

      • Matthew Dirks, Andrew Csinger, Andrew Bamber, David Poole

      Pages 257-262

   8. Nearly Counterfactual Revision

      • Aaron Hunter

      Pages 263-269

   9. Improving Conversation Engagement Through Data-Driven Agent Behavior Modification

      • Michael Procter, Fuhua Lin, Robert Heller

      Pages 270-275

   10. Active Recruitment Mechanisms for Heterogeneous Robot Teams in Dangerous Environments

       • Geoff Nagy, John Anderson

       Pages 276-281

3. Streams and Distributed Computing

   1. Front Matter

      Pages 283-283

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This book constitutes the refereed proceedings of the 29th Canadian Conference on Artificial Intelligence, Canadian AI 2016, held in Victoria, BC, Canada, in May/June 2016. The 12 full papers and 27 short papers presented were carefully reviewed and selected from 97 submissions. The focus of the conference was on the following subjects: actions and behaviours, audio and visual recognition, natural language processing, reasoning and learning, streams and distributed computing.

• biometrics
• data mining
• granular computing
• machine learning
• neural networks

• Lakehead University, Thunder Bay, Canada

  Richard Khoury

• National Research Council Canada , Ottawa, Canada

  Christopher Drummond

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