The Text Analysis and Machine Learning Group Executive summary | What is Knowledge
Management? | The team | Brief history |
Council Room (SITE 5-084)
| Fall 2016 |
|
Sept 15, 1:30pm
| Saif Mohammad NRC
Metaphor as a Medium for Emotion: An Empirical Study |
Sept 22, 1:30pm
| Romualdo Alves Pereira Brazilian Space Agency
and University of
Ottawa
Evaluating the Evolution of Personality, Sentiment,
Emotion and Life Values in Letters or Chronological
Documents |
Sept 28, 1:30pm
Unusual day
|
Sylvie Ratte and Ruben Dorado Ecole de technologie superieure,
Montreal
Semisupervised Text Classification Using Unsupervised
Topic Information |
Oct 6, 1:30pm
| Harry Guo
NRC
Deep reinforcement learning: from playing video games to
generating natural text |
Oct 13, 1:30pm
| Svetlana Kiritchenko
NRC
Capturing Reliable Fine-Grained Sentiment Associations by
Crowdsourcing and Best-Worst Scaling |
Oct 20, 1:30pm
| Xiaodan Zhu
NRC
Distraction-Based Neural Networks for Modeling Documents |
Nov 3, 1:30pm
| Gabor Lugosi
Pompeu Fabra University
Finding Adam in randomly growing trees
|
Nov 10, 1pm
| Marie-Josee Hamel, Nikolay Slavkov,
Dingwen Xiao, and Diana Inkpen
University of Ottawa
MyAnnotator: An Error Annotation Tool for Language
Teachers
|
Nov 17, 1:30pm
| Yongyi Mao
University of Ottawa
On Hyper-Parameter Estimation in Empirical Bayes: A Revisit of the MacKay Algorithm
|
Nov 24, 1:30pm
| Marina Sokolova
University of Ottawa and
Institute for Big Data Analytics, Dalhousie University
Multi-Labelled Learning and Social Mining
|
Dec 8, 1pm
| Ehsan Amjadian
Carleton University
Local-Global Vectors to Improve Unigram Terminology Extraction
|
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