Thursday, July 15, 2010 |
| | Shared Task Session 1: Overview and Oral Presentations (16:00-17:30) |
| 16:00–16:20 | The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text
Richárd Farkas, Veronika Vincze, György Móra, János Csirik and György Szarvas |
| 16:20–16:30 | A Cascade Method for Detecting Hedges and their Scope in Natural Language Text
Buzhou Tang, Xiaolong Wang, Xuan Wang, Bo Yuan and Shixi Fan |
| 16:30–16:40 | Detecting Speculative Language Using Syntactic Dependencies and Logistic Regression
Andreas Vlachos and Mark Craven |
| 16:40–16:50 | A Hedgehop over a Max-Margin Framework Using Hedge Cues
Maria Georgescul |
| 16:50–17:00 | Detecting Hedge Cues and their Scopes with Average Perceptron
Feng Ji, Xipeng Qiu and Xuanjing Huang |
| 17:00–17:10 | Memory-Based Resolution of In-Sentence Scopes of Hedge Cues
Roser Morante, Vincent Van Asch and Walter Daelemans |
| 17:10–17:20 | Resolving Speculation: MaxEnt Cue Classification and Dependency-Based Scope Rules
Erik Velldal, Lilja Øvrelid and Stephan Oepen |
| 17:20–17:30 | Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection
Marek Rei and Ted Briscoe |
| | Shared Task Discussion Panel (17:30-18:00) |
Friday, July 16, 2010 |
| | Shared Task Session 2: Poster Session (11:00-12:30) |
| | (Systems for both Task1 and Task2) |
| | Hedge Detection Using the RelHunter Approach
Eraldo Fernandes, Carlos Crestana and Ruy Milidiú |
| | A High-Precision Approach to Detecting Hedges and their Scopes
Halil Kilicoglu and Sabine Bergler |
| | Exploiting Rich Features for Detecting Hedges and their Scope
Xinxin Li, Jianping Shen, Xiang Gao and Xuan Wang |
| | Uncertainty Detection as Approximate Max-Margin Sequence Labelling
Oscar Täckström, Sumithra Velupillai, Martin Hassel, Gunnar Eriksson, Hercules Dalianis and Jussi Karlgren |
| | Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection
Shaodian Zhang, Hai Zhao, Guodong Zhou and Bao-Liang Lu |
| | Learning to Detect Hedges and their Scope Using CRF
Qi Zhao, Chengjie Sun, Bingquan Liu and Yong Cheng |
| | Exploiting Multi-Features to Detect Hedges and their Scope in Biomedical Texts
Huiwei Zhou, Xiaoyan Li, Degen Huang, Zezhong Li and Yuansheng Yang |
| | (Systems for Task1) |
| | A Lucene and Maximum Entropy Model Based Hedge Detection System
Lin Chen and Barbara Di Eugenio |
| | HedgeHunter: A System for Hedge Detection and Uncertainty Classification
David Clausen |
| | Exploiting CCG Structures with Tree Kernels for Speculation Detection
Liliana Mamani Sánchez, Baoli Li and Carl Vogel |
| | Uncertainty Learning Using SVMs and CRFs
Vinodkumar Prabhakaran |
| | Features for Detecting Hedge Cues
Nobuyuki Shimizu and Hiroshi Nakagawa |
| | A Simple Ensemble Method for Hedge Identification
Ferenc Szidarovszky, Illés Solt and Domonkos Tikk |
| | A Baseline Approach for Detecting Sentences Containing Uncertainty
Erik Tjong Kim Sang |
| | Hedge Classification with Syntactic Dependency Features Based on an Ensemble Classifier
Yi Zheng, Qifeng Dai, Qiming Luo and Enhong Chen |