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Proceedings of CoNLL-X

The Tenth Conference on Natural Language Learning (CoNLL-X) was held on June 8-9, 2006 in association with HLT-NAACL 2006 in New York City, USA.

Paper copies of these proceedings can be ordered from the Association for Computational Linguistics, 209 N. Eighth Street East Stroudsburg, PA 18360 USA, phone: +1-570-476-8006, fax: +1-570-476-0860, e-mail: acl@aclweb.org , www: www.aclweb.org

The editors of these proceedings are Lluís Màrquez and Dan Klein

CoNLL-X Invited Papers

An SVM Approach to Natural Language Learning

Michael Collins
Slides: [pdf]; Related paper: [pdf]

A Mission for Computational Natural Language Learning

Walter Daelemans
[pdf]

CoNLL-X Papers

Porting Statistical Parsers with Data-Defined Kernels

Ivan Titov and James Henderson
[pdf]

Non-Local Modeling with a Mixture of PCFGs

Slav Petrov, Leon Barrett and Dan Klein
[pdf]

Improved Large Margin Dependency Parsing via Local Constraints and Laplacian Regularization

Qin Iris Wang, Colin Cherry, Dan Lizotte and Dale Schuurmans
[pdf]

What are the Productive Units of Natural Language Grammar? A DOP Approach to the Automatic Identification of Constructions.

Willem Zuidema
[pdf]

Resolving and Generating Definite Anaphora by Modeling Hypernymy using Unlabeled Corpora

Nikesh Garera and David Yarowsky
[pdf]

Investigating Lexical Substitution Scoring for Subtitle Generation

Oren Glickman, Ido Dagan, Walter Daelemans, Mikaela Keller and Samy Bengio
[pdf]

Semantic Role Recognition Using Kernels on Weighted Marked Ordered Labeled Trees

Jun'ichi Kazama and Kentaro Torisawa
[pdf]

Semantic Role Labeling via Tree Kernel Joint Inference

Alessandro Moschitti, Daniele Pighin and Roberto Basili
[pdf]

Can Human Verb Associations Help Identify Salient Features for Semantic Verb Classification?

Sabine Schulte im Walde
[pdf]

Applying Alternating Structure Optimization to Word Sense Disambiguation ***BEST PAPER AWARD***

Rie Kubota Ando
[pdf]

Unsupervised Parsing with U-DOP

Rens Bod
[pdf]

A Lattice-Based Framework for Enhancing Statistical Parsers with Information from Unlabeled Corpora

Michaela Atterer and Hinrich Schütze
[pdf]

Word Distributions for Thematic Segmentation in a Support Vector Machine Approach

Maria Georgescul, Alexander Clark and Susan Armstrong
[pdf]

Which Side are You on? Identifying Perspectives at the Document and Sentence Levels

Wei-Hao Lin, Theresa Wilson, Janyce Wiebe and Alexander Hauptmann
[pdf]

Unsupervised Grammar Induction by Distribution and Attachment

David J. Brooks
[pdf]

Learning Auxiliary Fronting with Grammatical Inference

Alexander Clark and Rémi Eyraud
[pdf]

Using Gazetteers in Discriminative Information Extraction

Andrew Smith and Miles Osborne
[pdf]

A Context Pattern Induction Method for Named Entity Extraction

Partha Pratim Talukdar, Thorsten Brants, Mark Liberman and Fernando Pereira
[pdf]

CoNLL-X Shared Task Papers

CoNLL-X Shared Task on Multilingual Dependency Parsing

Sabine Buchholz and Erwin Marsi
[pdf]

The Treebanks Used in the Shared Task

[pdf]

Experiments with a Multilanguage Non-Projective Dependency Parser

Giuseppe Attardi
[pdf]

LingPars, a Linguistically Inspired, Language-Independent Machine Learner for Dependency Treebanks

Eckhard Bick
[pdf]

Dependency Parsing by Inference over High-recall Dependency Predictions

Sander Canisius, Toine Bogers, Antal van den Bosch, Jeroen Geertzen and Erik Tjong Kim Sang
[pdf]

Projective Dependency Parsing with Perceptron

Xavier Carreras, Mihai Surdeanu and Lluís Màrquez
[pdf]

A Pipeline Model for Bottom-Up Dependency Parsing

Ming-Wei Chang, Quang Do and Dan Roth
[pdf]

Multi-lingual Dependency Parsing at NAIST

Yuchang Cheng, Masayuki Asahara and Yuji Matsumoto
[pdf]

Dependency Parsing with Reference to Slovene, Spanish and Swedish

Simon Corston-Oliver and Anthony Aue
[pdf]

Vine Parsing and Minimum Risk Reranking for Speed and Precision

Markus Dreyer, David A. Smith and Noah A. Smith
[pdf]

Investigating Multilingual Dependency Parsing

Richard Johansson and Pierre Nugues
[pdf]

Dependency Parsing Based on Dynamic Local Optimization

Ting Liu, Jinshan Ma, Huijia Zhu and Sheng Li
[pdf]

Multilingual Dependency Analysis with a Two-Stage Discriminative Parser

Ryan McDonald, Kevin Lerman and Fernando Pereira
[pdf]

Labeled Pseudo-Projective Dependency Parsing with Support Vector Machines

Joakim Nivre, Johan Hall, Jens Nilsson, Gülsen Eryigit and Svetoslav Marinov
[pdf]

Multi-lingual Dependency Parsing with Incremental Integer Linear Programming

Sebastian Riedel, Ruket Çakıcı and Ivan Meza-Ruiz
[pdf]

Language Independent Probabilistic Context-Free Parsing Bolstered by Machine Learning

Michael Schiehlen and Kristina Spranger
[pdf]

Maximum Spanning Tree Algorithm for Non-projective Labeled Dependency Parsing

Nobuyuki Shimizu
[pdf]

The Exploration of Deterministic and Efficient Dependency Parsing

Yu-Chieh Wu, Yue-Shi Lee and Jie-Chi Yang
[pdf]

Dependency Parsing as a Classication Problem

Deniz Yuret
[pdf]