CoNLL 2009

48 papers

A Simple Generative Pipeline Approach to Dependency Parsing and Semantic Role Labeling

Daniel Zeman

Multilingual Syntactic-Semantic Dependency Parsing with Three-Stage Approximate Max-Margin Linear Models

Yotaro Watanabe, Masayuki Asahara, Yuji Matsumoto

A Joint Syntactic and Semantic Dependency Parsing System based on Maximum Entropy Models

Buzhou Tang, Lu Li, Xinxin Li, Xuan Wang, Xiaolong Wang

Multilingual Semantic Parsing with a Pipeline of Linear Classifiers

Oscar Täckström

Parsing Syntactic and Semantic Dependencies for Multiple Languages with A Pipeline Approach

Han Ren, Donghong Ji, Jing Wan, Mingyao Zhang

The Crotal SRL System : a Generic Tool Based on Tree-structured CRF

Erwan Moreau, Isabelle Tellier

Multilingual Semantic Role Labelling with Markov Logic

Ivan Meza-Ruiz, Sebastian Riedel

A Second-Order Joint Eisner Model for Syntactic and Semantic Dependency Parsing

Xavier Lluís, Stefan Bott, Lluis Marquez

Exploring Multilingual Semantic Role Labeling

Baoli Li, Martin Emms, Saturnino Luz, Carl Vogel

Efficient Parsing of Syntactic and Semantic Dependency Structures

Bernd Bohnet

Multilingual Dependency Learning: Exploiting Rich Features for Tagging Syntactic and Semantic Dependencies

Hai Zhao, Wenliang Chen, Jun’ichi Kazama, Kiyotaka Uchimoto, Kentaro Torisawa

Multilingual Dependency Learning: A Huge Feature Engineering Method to Semantic Dependency Parsing

Hai Zhao, Wenliang Chen, Chunyu Kit, Guodong Zhou

Multilingual Dependency-based Syntactic and Semantic Parsing

Wanxiang Che, Zhenghua Li, Yongqiang Li, Yuhang Guo, Bing Qin

Multilingual Semantic Role Labeling

Anders Björkelund, Love Hafdell, Pierre Nugues

A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages

Andrea Gesmundo, James Henderson, Paola Merlo, Ivan Titov

Hybrid Multilingual Parsing with HPSG for SRL

Yi Zhang, Rui Wang, Stephan Oepen

Joint Memory-Based Learning of Syntactic and Semantic Dependencies in Multiple Languages

Roser Morante, Vincent Van Asch, Antal van den Bosch

An Iterative Approach for Joint Dependency Parsing and Semantic Role Labeling

Qifeng Dai, Enhong Chen, Liu Shi

The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages

Jan Hajic, Massimiliano Ciaramita, Richard Johansson, Daisuke Kawahara, Maria Antònia Martí

Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task

Jan Hajic

New Features for FrameNet - WordNet Mapping

Sara Tonelli, Daniele Pighin

Using Encyclopedic Knowledge for Automatic Topic Identification

Kino Coursey, Rada Mihalcea, William Moen

Fine-Grained Classification of Named Entities Exploiting Latent Semantic Kernels

Claudio Giuliano

A simple feature-copying approach for long-distance dependencies

Marc Vilain, Jonathan Huggins, Ben Wellner

Improving Text Classification by a Sense Spectrum Approach to Term Expansion

Peter Wittek, Sándor Darányi, Chew Lim Tan

Lexical Patterns or Dependency Patterns: Which Is Better for Hypernym Extraction?

Erik Tjong Kim Sang, Katja Hofmann

The NVI Clustering Evaluation Measure

Roi Reichart, Ari Rappoport

Automatic Selection of High Quality Parses Created By a Fully Unsupervised Parser

Roi Reichart, Ari Rappoport

Design Challenges and Misconceptions in Named Entity Recognition

Lev Ratinov, Dan Roth

An Intrinsic Stopping Criterion for Committee-Based Active Learning

Fredrik Olsson, Katrin Tomanek

Improving Translation Lexicon Induction from Monolingual Corpora via Dependency Contexts and Part-of-Speech Equivalences

Nikesh Garera, Chris Callison-Burch, David Yarowsky

Glen, Glenda or Glendale: Unsupervised and Semi-supervised Learning of English Noun Gender

Shane Bergsma, Dekang Lin, Randy Goebel

Investigating Automatic Alignment Methods for Slide Generation from Academic Papers

Brandon Beamer, Roxana Girju

Monte Carlo inference and maximization for phrase-based translation

Abhishek Arun, Chris Dyer, Barry Haddow, Phil Blunsom, Adam Lopez

Learning Where to Look: Modeling Eye Movements in Reading

Mattias Nilsson, Joakim Nivre

Minimally Supervised Model of Early Language Acquisition

Michael Connor, Yael Gertner, Cynthia Fisher, Dan Roth

Mining the Web for Reciprocal Relationships

Michael Paul, Roxana Girju, Chen Li

Interactive Feature Space Construction using Semantic Information

Dan Roth, Kevin Small

Representing words as regions in vector space

Katrin Erk

Superior and Efficient Fully Unsupervised Pattern-based Concept Acquisition Using an Unsupervised Parser

Dmitry Davidov, Roi Reichart, Ari Rappoport

A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping

Michael Bloodgood, K. Vijay-Shanker

Efficient Linearization of Tree Kernel Functions

Daniele Pighin, Alessandro Moschitti

A Metalearning Approach to Processing the Scope of Negation

Roser Morante, Walter Daelemans

Data-Driven Dependency Parsing of New Languages Using Incomplete and Noisy Training Data

Kathrin Spreyer, Jonas Kuhn

Sample Selection for Statistical Parsers: Cognitively Driven Algorithms and Evaluation Measures

Roi Reichart, Ari Rappoport

Modeling Word Learning As Communicative Inference

Michael C. Frank

Joint Inference for Natural Language Processing

Andrew McCallum

Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009)

Suzanne Stevenson, Xavier Carreras