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Program

10:00 - 10:05 Opening Session

10:05 - 11:35 Session 1

  • Alexander Dlikman and Mark Last. Using Machine Learning Methods and Linguistic Features in Single-Document Extractive Summarization
  • Albin Zehe, Martin Becker, Lena Hettinger, Andreas Hotho, Isabella Reger and Fotis Jannidis. Prediction of Happy Endings in German Novels
  • Julien Ah-Pine and Edmundo Pavel Soriano Morales. A Study of Synthetic Oversampling for Twitter Imbalanced Sentiment Analysis

11:35 - 11:50 Coffe Break

11:50 - 13:20 Session 2

  • Julien Velcin, Mathieu Roche and Pascal Poncelet. Shallow Text Clustering Does Not Mean Weak Topics: How Topic Identification Can Leverage Bigram Features
  • Christian Pölitz. Topic Models with Sparse and Group-Sparsity Inducing Priors
  • Fu Xianghua, Wu Haiying and Cui Laizhong. Topic Sentiment Joint Model with Word Embeddings (no show)

13:40 - 14:40 lunch break

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Page last modified on 2016-09-22 10:52