The conference program of the Conference on Computational Natural Language Learning (CoNLL 2010)
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 | |