9:00 – 9:30 Opening Session
9:30 – 10:30 Session 1
- Text Classification Using Association Rules, Dependency Pruning and Hyperonymization. Yannis Haralambous, Philippe Lenca
- Sequential Patterns of POS Labels Help to Characterize Language Acquisition. Isabelle Tellier, Zineb Makhlouf, Yoann Dupont
10:30 – 11:00 Coffe Break
11:00 – 12:30 Session 2
- Learning Subgraph Patterns from text for Extracting Disease–Symptom Relationships. Mohsen Hassan, Adrien Coulet, Yannick Toussaint‘
- Automatically Detecting and Rating Product Aspects from Textual Customer Reviews. Wouter Bancken, Daniele Alfarone, Jesse Davis
- Interpretable Low-rank Document Representations with Label-dependent Sparsity Patterns. Ivan Ivek
12:30 – 14:00 Lunch
14:00 – 15:30 Session 3
- Text Mining for Open Domain Semi-Supervised Semantic Role Labeling. Quynh Ngoc Thi Do, Steven Bethard, Marie-Francine Moens
- Mining Meaning from Text by Harvesting Frequent and Diverse Semantic Itemsets. Luigi Di Caro, Guido Boella
- Learning Semantically Coherent Rules. Alexander Gabriel, Heiko Paulheim, Frederik Janssen
15:30 – 16:00 Coffe Break
16:00 – 16:40 Session 4
- RegExpMiner: Automatically discovering frequently matching regular expressions (short talk). Julien Rabatel, Jérôme Azé, Pascal Poncelet, Mathieu Roche
- NLP-based Feature Extraction for Automated Tweet Classification (short talk). Anna Stavrianou, Caroline Brun, Tomi Silander, Claude Roux
- TagMiner: A Semisupervised Associative POS Tagger Effective for Resource Poor Languages (cancelled). P. Rani, V. Pudi and D. Sharma
