Conference on Computational Natural Language Learning (2010)

Volumes

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bib (full) Proceedings of the Fourteenth Conference on Computational Natural Language Learning

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Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Mirella Lapata | Anoop Sarkar
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Improvements in Unsupervised Co-Occurrence Based Parsing
Christian Hänig
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Viterbi Training Improves Unsupervised Dependency Parsing
Valentin I. Spitkovsky | Hiyan Alshawi | Daniel Jurafsky | Christopher D. Manning
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Driving Semantic Parsing from the World’s Response
James Clarke | Dan Goldwasser | Ming-Wei Chang | Dan Roth
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Efficient, Correct, Unsupervised Learning for Context-Sensitive Languages
Alexander Clark
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Identifying Patterns for Unsupervised Grammar Induction
Jesús Santamaría | Lourdes Araujo
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Learning Better Monolingual Models with Unannotated Bilingual Text
David Burkett | Slav Petrov | John Blitzer | Dan Klein
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(Invited Talk) Clueless: Explorations in Unsupervised, Knowledge-Lean Extraction of Lexical-Semantic Information
Lillian Lee
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(Invited Talk) Bayesian Hidden Markov Models and Extensions
Zoubin Ghahramani
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Improved Unsupervised POS Induction Using Intrinsic Clustering Quality and a Zipfian Constraint
Roi Reichart | Raanan Fattal | Ari Rappoport
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Syntactic and Semantic Structure for Opinion Expression Detection
Richard Johansson | Alessandro Moschitti
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Type Level Clustering Evaluation: New Measures and a POS Induction Case Study
Roi Reichart | Omri Abend | Ari Rappoport
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Recession Segmentation: Simpler Online Word Segmentation Using Limited Resources
Constantine Lignos | Charles Yang
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Computing Optimal Alignments for the IBM-3 Translation Model
Thomas Schoenemann
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Semi-Supervised Recognition of Sarcasm in Twitter and Amazon
Dmitry Davidov | Oren Tsur | Ari Rappoport
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Learning Probabilistic Synchronous CFGs for Phrase-Based Translation
Markos Mylonakis | Khalil Sima’an
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A Semi-Supervised Batch-Mode Active Learning Strategy for Improved Statistical Machine Translation
Sankaranarayanan Ananthakrishnan | Rohit Prasad | David Stallard | Prem Natarajan
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Improving Word Alignment by Semi-Supervised Ensemble
Shujian Huang | Kangxi Li | Xinyu Dai | Jiajun Chen
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A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection
Chenghua Lin | Yulan He | Richard Everson
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A Hybrid Approach to Emotional Sentence Polarity and Intensity Classification
Jorge Carrillo de Albornoz | Laura Plaza | Pablo Gervás
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Cross-Caption Coreference Resolution for Automatic Image Understanding
Micah Hodosh | Peter Young | Cyrus Rashtchian | Julia Hockenmaier
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Improved Natural Language Learning via Variance-Regularization Support Vector Machines
Shane Bergsma | Dekang Lin | Dale Schuurmans
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Online Entropy-Based Model of Lexical Category Acquisition
Grzegorz Chrupała | Afra Alishahi
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Tagging and Linking Web Forum Posts
Su Nam Kim | Li Wang | Timothy Baldwin
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Joint Entity and Relation Extraction Using Card-Pyramid Parsing
Rohit J. Kate | Raymond Mooney
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Distributed Asynchronous Online Learning for Natural Language Processing
Kevin Gimpel | Dipanjan Das | Noah A. Smith
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On Reverse Feature Engineering of Syntactic Tree Kernels
Daniele Pighin | Alessandro Moschitti
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Inspecting the Structural Biases of Dependency Parsing Algorithms
Yoav Goldberg | Michael Elhadad
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bib (full) Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task

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