Conference on Computational Natural Language Learning (2010)
- Venue:
- CoNLL
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Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Mirella Lapata | Anoop Sarkar
Mirella Lapata | Anoop Sarkar
Viterbi Training Improves Unsupervised Dependency Parsing
Valentin I. Spitkovsky | Hiyan Alshawi | Daniel Jurafsky | Christopher D. Manning
Valentin I. Spitkovsky | Hiyan Alshawi | Daniel Jurafsky | Christopher D. Manning
Driving Semantic Parsing from the World’s Response
James Clarke | Dan Goldwasser | Ming-Wei Chang | Dan Roth
James Clarke | Dan Goldwasser | Ming-Wei Chang | Dan Roth
Learning Better Monolingual Models with Unannotated Bilingual Text
David Burkett | Slav Petrov | John Blitzer | Dan Klein
David Burkett | Slav Petrov | John Blitzer | Dan Klein
(Invited Talk) Clueless: Explorations in Unsupervised, Knowledge-Lean Extraction of Lexical-Semantic Information
Lillian Lee
Lillian Lee
Improved Unsupervised POS Induction Using Intrinsic Clustering Quality and a Zipfian Constraint
Roi Reichart | Raanan Fattal | Ari Rappoport
Roi Reichart | Raanan Fattal | Ari Rappoport
Syntactic and Semantic Structure for Opinion Expression Detection
Richard Johansson | Alessandro Moschitti
Richard Johansson | Alessandro Moschitti
Type Level Clustering Evaluation: New Measures and a POS Induction Case Study
Roi Reichart | Omri Abend | Ari Rappoport
Roi Reichart | Omri Abend | Ari Rappoport
Recession Segmentation: Simpler Online Word Segmentation Using Limited Resources
Constantine Lignos | Charles Yang
Constantine Lignos | Charles Yang
Semi-Supervised Recognition of Sarcasm in Twitter and Amazon
Dmitry Davidov | Oren Tsur | Ari Rappoport
Dmitry Davidov | Oren Tsur | Ari Rappoport
Learning Probabilistic Synchronous CFGs for Phrase-Based Translation
Markos Mylonakis | Khalil Sima’an
Markos Mylonakis | Khalil Sima’an
A Semi-Supervised Batch-Mode Active Learning Strategy for Improved Statistical Machine Translation
Sankaranarayanan Ananthakrishnan | Rohit Prasad | David Stallard | Prem Natarajan
Sankaranarayanan Ananthakrishnan | Rohit Prasad | David Stallard | Prem Natarajan
Improving Word Alignment by Semi-Supervised Ensemble
Shujian Huang | Kangxi Li | Xinyu Dai | Jiajun Chen
Shujian Huang | Kangxi Li | Xinyu Dai | Jiajun Chen
A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection
Chenghua Lin | Yulan He | Richard Everson
Chenghua Lin | Yulan He | Richard Everson
A Hybrid Approach to Emotional Sentence Polarity and Intensity Classification
Jorge Carrillo de Albornoz | Laura Plaza | Pablo Gervás
Jorge Carrillo de Albornoz | Laura Plaza | Pablo Gervás
Cross-Caption Coreference Resolution for Automatic Image Understanding
Micah Hodosh | Peter Young | Cyrus Rashtchian | Julia Hockenmaier
Micah Hodosh | Peter Young | Cyrus Rashtchian | Julia Hockenmaier
Improved Natural Language Learning via Variance-Regularization Support Vector Machines
Shane Bergsma | Dekang Lin | Dale Schuurmans
Shane Bergsma | Dekang Lin | Dale Schuurmans
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Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task
Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task
Richárd Farkas | Veronika Vincze | György Szarvas | György Móra | János Csirik
Richárd Farkas | Veronika Vincze | 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
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
Buzhou Tang | Xiaolong Wang | Xuan Wang | Bo Yuan | Shixi Fan
Detecting Speculative Language Using Syntactic Dependencies and Logistic Regression
Andreas Vlachos | Mark Craven
Andreas Vlachos | Mark Craven
Memory-Based Resolution of In-Sentence Scopes of Hedge Cues
Roser Morante | Vincent Van Asch | Walter Daelemans
Roser Morante | Vincent Van Asch | Walter Daelemans
Resolving Speculation: MaxEnt Cue Classification and Dependency-Based Scope Rules
Erik Velldal | Lilja Øvrelid | Stephan Oepen
Erik Velldal | Lilja Øvrelid | Stephan Oepen
Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection
Marek Rei | Ted Briscoe
Marek Rei | Ted Briscoe
Exploiting Rich Features for Detecting Hedges and their Scope
Xinxin Li | Jianping Shen | Xiang Gao | Xuan Wang
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
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
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
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
Huiwei Zhou | Xiaoyan Li | Degen Huang | Zezhong Li | Yuansheng Yang