Conference on Computational Natural Language Learning (2009)
Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009)
Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009)
Suzanne Stevenson
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Xavier Carreras
Joint Inference for Natural Language Processing
Andrew McCallum
Modeling Word Learning As Communicative Inference
Michael C. Frank
Sample Selection for Statistical Parsers: Cognitively Driven Algorithms and Evaluation Measures
Roi Reichart
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Ari Rappoport
Data-Driven Dependency Parsing of New Languages Using Incomplete and Noisy Training Data
Kathrin Spreyer
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Jonas Kuhn
A Metalearning Approach to Processing the Scope of Negation
Roser Morante
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Walter Daelemans
Efficient Linearization of Tree Kernel Functions
Daniele Pighin
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Alessandro Moschitti
A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping
Michael Bloodgood
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K. Vijay-Shanker
Superior and Efficient Fully Unsupervised Pattern-based Concept Acquisition Using an Unsupervised Parser
Dmitry Davidov
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Roi Reichart
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Ari Rappoport
Representing words as regions in vector space
Katrin Erk
Interactive Feature Space Construction using Semantic Information
Dan Roth
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Kevin Small
Mining the Web for Reciprocal Relationships
Michael Paul
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Roxana Girju
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Chen Li
Minimally Supervised Model of Early Language Acquisition
Michael Connor
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Yael Gertner
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Cynthia Fisher
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Dan Roth
Learning Where to Look: Modeling Eye Movements in Reading
Mattias Nilsson
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Joakim Nivre
Monte Carlo inference and maximization for phrase-based translation
Abhishek Arun
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Chris Dyer
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Barry Haddow
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Phil Blunsom
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Adam Lopez
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Philipp Koehn
Investigating Automatic Alignment Methods for Slide Generation from Academic Papers
Brandon Beamer
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Roxana Girju
Glen, Glenda or Glendale: Unsupervised and Semi-supervised Learning of English Noun Gender
Shane Bergsma
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Dekang Lin
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Randy Goebel
Improving Translation Lexicon Induction from Monolingual Corpora via Dependency Contexts and Part-of-Speech Equivalences
Nikesh Garera
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Chris Callison-Burch
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David Yarowsky
An Intrinsic Stopping Criterion for Committee-Based Active Learning
Fredrik Olsson
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Katrin Tomanek
Design Challenges and Misconceptions in Named Entity Recognition
Lev Ratinov
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Dan Roth
Automatic Selection of High Quality Parses Created By a Fully Unsupervised Parser
Roi Reichart
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Ari Rappoport
The NVI Clustering Evaluation Measure
Roi Reichart
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Ari Rappoport
Lexical Patterns or Dependency Patterns: Which Is Better for Hypernym Extraction?
Erik Tjong Kim Sang
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Katja Hofmann
Improving Text Classification by a Sense Spectrum Approach to Term Expansion
Peter Wittek
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Sándor Darányi
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Chew Lim Tan
A simple feature-copying approach for long-distance dependencies
Marc Vilain
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Jonathan Huggins
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Ben Wellner
Fine-Grained Classification of Named Entities Exploiting Latent Semantic Kernels
Claudio Giuliano
Using Encyclopedic Knowledge for Automatic Topic Identification
Kino Coursey
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Rada Mihalcea
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William Moen
New Features for FrameNet - WordNet Mapping
Sara Tonelli
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Daniele Pighin
Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task
Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task
Jan Hajič
The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages
Jan Hajič
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Massimiliano Ciaramita
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Richard Johansson
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Daisuke Kawahara
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Maria Antònia Martí
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Lluís Màrquez
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Adam Meyers
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Joakim Nivre
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Sebastian Padó
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Jan Štěpánek
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Pavel Straňák
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Mihai Surdeanu
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Nianwen Xue
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Yi Zhang
An Iterative Approach for Joint Dependency Parsing and Semantic Role Labeling
Qifeng Dai
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Enhong Chen
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Liu Shi
Joint Memory-Based Learning of Syntactic and Semantic Dependencies in Multiple Languages
Roser Morante
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Vincent Van Asch
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Antal van den Bosch
Hybrid Multilingual Parsing with HPSG for SRL
Yi Zhang
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Rui Wang
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Stephan Oepen
A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages
Andrea Gesmundo
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James Henderson
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Paola Merlo
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Ivan Titov
Multilingual Semantic Role Labeling
Anders Björkelund
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Love Hafdell
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Pierre Nugues
Multilingual Dependency-based Syntactic and Semantic Parsing
Wanxiang Che
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Zhenghua Li
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Yongqiang Li
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Yuhang Guo
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Bing Qin
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Ting Liu
Multilingual Dependency Learning: A Huge Feature Engineering Method to Semantic Dependency Parsing
Hai Zhao
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Wenliang Chen
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Chunyu Kit
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Guodong Zhou
Multilingual Dependency Learning: Exploiting Rich Features for Tagging Syntactic and Semantic Dependencies
Hai Zhao
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Wenliang Chen
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Jun’ichi Kazama
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Kiyotaka Uchimoto
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Kentaro Torisawa
Efficient Parsing of Syntactic and Semantic Dependency Structures
Bernd Bohnet
Exploring Multilingual Semantic Role Labeling
Baoli Li
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Martin Emms
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Saturnino Luz
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Carl Vogel
A Second-Order Joint Eisner Model for Syntactic and Semantic Dependency Parsing
Xavier Lluís
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Stefan Bott
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Lluís Màrquez
Multilingual Semantic Role Labelling with Markov Logic
Ivan Meza-Ruiz
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Sebastian Riedel
The Crotal SRL System : a Generic Tool Based on Tree-structured CRF
Erwan Moreau
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Isabelle Tellier
Parsing Syntactic and Semantic Dependencies for Multiple Languages with A Pipeline Approach
Han Ren
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Donghong Ji
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Jing Wan
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Mingyao Zhang
Multilingual Semantic Parsing with a Pipeline of Linear Classifiers
Oscar Täckström
A Joint Syntactic and Semantic Dependency Parsing System based on Maximum Entropy Models
Buzhou Tang
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Lu Li
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Xinxin Li
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Xuan Wang
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Xiaolong Wang
Multilingual Syntactic-Semantic Dependency Parsing with Three-Stage Approximate Max-Margin Linear Models
Yotaro Watanabe
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Masayuki Asahara
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Yuji Matsumoto
A Simple Generative Pipeline Approach to Dependency Parsing and Semantic Role Labeling
Daniel Zeman