Papers
A Baseline Approach for Detecting Sentences Containing Uncertainty
Erik Tjong Kim Sang
A Simple Ensemble Method for Hedge Identification
Ferenc Szidarovszky, Illés Solt, Domonkos Tikk
Features for Detecting Hedge Cues
Nobuyuki Shimizu, Hiroshi Nakagawa
Uncertainty Learning Using SVMs and CRFs
Vinodkumar Prabhakaran
Exploiting CCG Structures with Tree Kernels for Speculation Detection
Liliana Mamani Sánchez, Baoli Li, Carl Vogel
A Lucene and Maximum Entropy Model Based Hedge Detection System
Lin Chen, Barbara Di Eugenio
Exploiting Multi-Features to Detect Hedges and their Scope in Biomedical Texts
Huiwei Zhou, Xiaoyan Li, Degen Huang et al.
Learning to Detect Hedges and their Scope Using CRF
Qi Zhao, Chengjie Sun, Bingquan Liu et al.
Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection
Shaodian Zhang, Hai Zhao, Guodong Zhou et al.
Uncertainty Detection as Approximate Max-Margin Sequence Labelling
Oscar Täckström, Sumithra Velupillai, Martin Hassel et al.
Exploiting Rich Features for Detecting Hedges and their Scope
Xinxin Li, Jianping Shen, Xiang Gao et al.
A High-Precision Approach to Detecting Hedges and their Scopes
Halil Kilicoglu, Sabine Bergler
Hedge Detection Using the RelHunter Approach
Eraldo Fernandes, Carlos Crestana, Ruy Milidiú
Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection
Marek Rei, Ted Briscoe
Resolving Speculation: MaxEnt Cue Classification and Dependency-Based Scope Rules
Erik Velldal, Lilja Øvrelid, Stephan Oepen
Memory-Based Resolution of In-Sentence Scopes of Hedge Cues
Roser Morante, Vincent Van Asch, Walter Daelemans
Detecting Hedge Cues and their Scopes with Average Perceptron
Feng Ji, Xipeng Qiu, Xuanjing Huang
A Hedgehop over a Max-Margin Framework Using Hedge Cues
Maria Georgescul
Detecting Speculative Language Using Syntactic Dependencies and Logistic Regression
Andreas Vlachos, Mark Craven
A Cascade Method for Detecting Hedges and their Scope in Natural Language Text
Buzhou Tang, Xiaolong Wang, Xuan Wang et al.
The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text
Richárd Farkas, Veronika Vincze, György Móra et al.
Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task
Richárd Farkas, Veronika Vincze, György Szarvas et al.
Inspecting the Structural Biases of Dependency Parsing Algorithms
Yoav Goldberg, Michael Elhadad
On Reverse Feature Engineering of Syntactic Tree Kernels
Daniele Pighin, Alessandro Moschitti