Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task
Richárd Farkas, Veronika Vincze, György Szarvas, György Móra, János Csirik (Editors)
- Anthology ID:
- W10-30
- Month:
- July
- Year:
- 2010
- Address:
- Uppsala, Sweden
- Venue:
- CoNLL
- SIG:
- SIGNLL
- Publisher:
- Association for Computational Linguistics
- URL:
- https://aclanthology.org/W10-30
- DOI:
- PDF:
- https://aclanthology.org/W10-30.pdf
Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task
Richárd Farkas
|
Veronika Vincze
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György Szarvas
|
György Móra
|
János Csirik
The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text
Richárd Farkas
|
Veronika Vincze
|
György Móra
|
János Csirik
|
György Szarvas
A Cascade Method for Detecting Hedges and their Scope in Natural Language Text
Buzhou Tang
|
Xiaolong Wang
|
Xuan Wang
|
Bo Yuan
|
Shixi Fan
Detecting Speculative Language Using Syntactic Dependencies and Logistic Regression
Andreas Vlachos
|
Mark Craven
A Hedgehop over a Max-Margin Framework Using Hedge Cues
Maria Georgescul
Detecting Hedge Cues and their Scopes with Average Perceptron
Feng Ji
|
Xipeng Qiu
|
Xuanjing Huang
Memory-Based Resolution of In-Sentence Scopes of Hedge Cues
Roser Morante
|
Vincent Van Asch
|
Walter Daelemans
Resolving Speculation: MaxEnt Cue Classification and Dependency-Based Scope Rules
Erik Velldal
|
Lilja Øvrelid
|
Stephan Oepen
Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection
Marek Rei
|
Ted Briscoe
Hedge Detection Using the RelHunter Approach
Eraldo Fernandes
|
Carlos Crestana
|
Ruy Milidiú
A High-Precision Approach to Detecting Hedges and their Scopes
Halil Kilicoglu
|
Sabine Bergler
Exploiting Rich Features for Detecting Hedges and their Scope
Xinxin Li
|
Jianping Shen
|
Xiang Gao
|
Xuan Wang
Uncertainty Detection as Approximate Max-Margin Sequence Labelling
Oscar Täckström
|
Sumithra Velupillai
|
Martin Hassel
|
Gunnar Eriksson
|
Hercules Dalianis
|
Jussi Karlgren
Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection
Shaodian Zhang
|
Hai Zhao
|
Guodong Zhou
|
Bao-Liang Lu
Learning to Detect Hedges and their Scope Using CRF
Qi Zhao
|
Chengjie Sun
|
Bingquan Liu
|
Yong Cheng
Exploiting Multi-Features to Detect Hedges and their Scope in Biomedical Texts
Huiwei Zhou
|
Xiaoyan Li
|
Degen Huang
|
Zezhong Li
|
Yuansheng Yang
A Lucene and Maximum Entropy Model Based Hedge Detection System
Lin Chen
|
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
|
Carl Vogel
Uncertainty Learning Using SVMs and CRFs
Vinodkumar Prabhakaran
Features for Detecting Hedge Cues
Nobuyuki Shimizu
|
Hiroshi Nakagawa
A Simple Ensemble Method for Hedge Identification
Ferenc Szidarovszky
|
Illés Solt
|
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
|
Enhong Chen