Table of contents

Anthology Volume Papers
W10-29 Proceedings of the Fourteenth Conference on Computational Natural Language Learning 28
W10-30 Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task 24


Pdf Export Search Proceedings of the Fourteenth Conference on Computational Natural Language Learning


Pdf Export Search Proceedings of the Fourteenth Conference on Computational Natural Language Learning
[W10-2900]: Mirella Lapata | Anoop Sarkar

Pdf Export Search Improvements in Unsupervised Co-Occurrence Based Parsing
[W10-2901]: Christian Hänig

Pdf Export Search Viterbi Training Improves Unsupervised Dependency Parsing
[W10-2902]: Valentin I. Spitkovsky | Hiyan Alshawi | Daniel Jurafsky | Christopher D. Manning

Pdf Export Search Driving Semantic Parsing from the World’s Response
[W10-2903]: James Clarke | Dan Goldwasser | Ming-Wei Chang | Dan Roth

Pdf Export Search Efficient, Correct, Unsupervised Learning for Context-Sensitive Languages
[W10-2904]: Alexander Clark

Pdf Export Search Identifying Patterns for Unsupervised Grammar Induction
[W10-2905]: Jesús Santamaría | Lourdes Araujo

Pdf Export Search Learning Better Monolingual Models with Unannotated Bilingual Text
[W10-2906]: David Burkett | Slav Petrov | John Blitzer | Dan Klein

Pdf Export Search (Invited Talk) Clueless: Explorations in Unsupervised, Knowledge-Lean Extraction of Lexical-Semantic Information
[W10-2907]: Lillian Lee

Pdf Export Search (Invited Talk) Bayesian Hidden Markov Models and Extensions
[W10-2908]: Zoubin Ghahramani

Pdf Export Search Improved Unsupervised POS Induction Using Intrinsic Clustering Quality and a Zipfian Constraint
[W10-2909]: Roi Reichart | Raanan Fattal | Ari Rappoport

Pdf Export Search Syntactic and Semantic Structure for Opinion Expression Detection
[W10-2910]: Richard Johansson | Alessandro Moschitti

Pdf Export Search Type Level Clustering Evaluation: New Measures and a POS Induction Case Study
[W10-2911]: Roi Reichart | Omri Abend | Ari Rappoport

Pdf Export Search Recession Segmentation: Simpler Online Word Segmentation Using Limited Resources
[W10-2912]: Constantine Lignos | Charles Yang

Pdf Export Search Computing Optimal Alignments for the IBM-3 Translation Model
[W10-2913]: Thomas Schoenemann

Pdf Export Search Semi-Supervised Recognition of Sarcasm in Twitter and Amazon
[W10-2914]: Dmitry Davidov | Oren Tsur | Ari Rappoport

Pdf Export Search Learning Probabilistic Synchronous CFGs for Phrase-Based Translation
[W10-2915]: Markos Mylonakis | Khalil Sima’an

Pdf Export Search A Semi-Supervised Batch-Mode Active Learning Strategy for Improved Statistical Machine Translation
[W10-2916]: Sankaranarayanan Ananthakrishnan | Rohit Prasad | David Stallard | Prem Natarajan

Pdf Export Search Improving Word Alignment by Semi-Supervised Ensemble
[W10-2917]: Shujian Huang | Kangxi Li | Xinyu Dai | Jiajun Chen

Pdf Export Search A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection
[W10-2918]: Chenghua Lin | Yulan He | Richard Everson

Pdf Export Search A Hybrid Approach to Emotional Sentence Polarity and Intensity Classification
[W10-2919]: Jorge Carrillo de Albornoz | Laura Plaza | Pablo Gervás

Pdf Export Search Cross-Caption Coreference Resolution for Automatic Image Understanding
[W10-2920]: Micah Hodosh | Peter Young | Cyrus Rashtchian | Julia Hockenmaier

Pdf Export Search Improved Natural Language Learning via Variance-Regularization Support Vector Machines
[W10-2921]: Shane Bergsma | Dekang Lin | Dale Schuurmans

Pdf Export Search Online Entropy-Based Model of Lexical Category Acquisition
[W10-2922]: Grzegorz Chrupała | Afra Alishahi

Pdf Export Search Tagging and Linking Web Forum Posts
[W10-2923]: Su Nam Kim | Li Wang | Timothy Baldwin

Pdf Export Search Joint Entity and Relation Extraction Using Card-Pyramid Parsing
[W10-2924]: Rohit J. Kate | Raymond Mooney

Pdf Export Search Distributed Asynchronous Online Learning for Natural Language Processing
[W10-2925]: Kevin Gimpel | Dipanjan Das | Noah A. Smith

Pdf Export Search On Reverse Feature Engineering of Syntactic Tree Kernels
[W10-2926]: Daniele Pighin | Alessandro Moschitti

Pdf Export Search Inspecting the Structural Biases of Dependency Parsing Algorithms
[W10-2927]: Yoav Goldberg | Michael Elhadad



Pdf Export Search Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task


Pdf Export Search Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task
[W10-3000]: Richárd Farkas | Veronika Vincze | György Szarvas | György Móra | János Csirik

Pdf Export Search The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text
[W10-3001]: Richárd Farkas | Veronika Vincze | György Móra | János Csirik | György Szarvas

Pdf Export Search A Cascade Method for Detecting Hedges and their Scope in Natural Language Text
[W10-3002]: Buzhou Tang | Xiaolong Wang | Xuan Wang | Bo Yuan | Shixi Fan

Pdf Export Search Detecting Speculative Language Using Syntactic Dependencies and Logistic Regression
[W10-3003]: Andreas Vlachos | Mark Craven

Pdf Export Search A Hedgehop over a Max-Margin Framework Using Hedge Cues
[W10-3004]: Maria Georgescul

Pdf Export Search Detecting Hedge Cues and their Scopes with Average Perceptron
[W10-3005]: Feng Ji | Xipeng Qiu | Xuanjing Huang

Pdf Export Search Memory-Based Resolution of In-Sentence Scopes of Hedge Cues
[W10-3006]: Roser Morante | Vincent Van Asch | Walter Daelemans

Pdf Export Search Resolving Speculation: MaxEnt Cue Classification and Dependency-Based Scope Rules
[W10-3007]: Erik Velldal | Lilja Øvrelid | Stephan Oepen

Pdf Export Search Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection
[W10-3008]: Marek Rei | Ted Briscoe

Pdf Export Search Hedge Detection Using the RelHunter Approach
[W10-3009]: Eraldo Fernandes | Carlos Crestana | Ruy Milidiú

Pdf Export Search A High-Precision Approach to Detecting Hedges and their Scopes
[W10-3010]: Halil Kilicoglu | Sabine Bergler

Pdf Export Search Exploiting Rich Features for Detecting Hedges and their Scope
[W10-3011]: Xinxin Li | Jianping Shen | Xiang Gao | Xuan Wang

Pdf Export Search Uncertainty Detection as Approximate Max-Margin Sequence Labelling
[W10-3012]: Oscar Täckström | Sumithra Velupillai | Martin Hassel | Gunnar Eriksson | Hercules Dalianis | Jussi Karlgren

Pdf Export Search Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection
[W10-3013]: Shaodian Zhang | Hai Zhao | Guodong Zhou | Bao-Liang Lu

Pdf Export Search Learning to Detect Hedges and their Scope Using CRF
[W10-3014]: Qi Zhao | Chengjie Sun | Bingquan Liu | Yong Cheng

Pdf Export Search Exploiting Multi-Features to Detect Hedges and their Scope in Biomedical Texts
[W10-3015]: Huiwei Zhou | Xiaoyan Li | Degen Huang | Zezhong Li | Yuansheng Yang

Pdf Export Search A Lucene and Maximum Entropy Model Based Hedge Detection System
[W10-3016]: Lin Chen | Barbara Di Eugenio

Pdf Export Search HedgeHunter: A System for Hedge Detection and Uncertainty Classification
[W10-3017]: David Clausen

Pdf Export Search Exploiting CCG Structures with Tree Kernels for Speculation Detection
[W10-3018]: Liliana Mamani Sánchez | Baoli Li | Carl Vogel

Pdf Export Search Uncertainty Learning Using SVMs and CRFs
[W10-3019]: Vinodkumar Prabhakaran

Pdf Export Search Features for Detecting Hedge Cues
[W10-3020]: Nobuyuki Shimizu | Hiroshi Nakagawa

Pdf Export Search A Simple Ensemble Method for Hedge Identification
[W10-3021]: Ferenc Szidarovszky | Illés Solt | Domonkos Tikk

Pdf Export Search A Baseline Approach for Detecting Sentences Containing Uncertainty
[W10-3022]: Erik Tjong Kim Sang

Pdf Export Search Hedge Classification with Syntactic Dependency Features Based on an Ensemble Classifier
[W10-3023]: Yi Zheng | Qifeng Dai | Qiming Luo | Enhong Chen