CoNLL-2008: Home

CoNLL-2008: List of accepted papers

A Fast Boosting-based Learner for Feature-Rich Tagging and Chunking
Tomoya Iwakura and Seishi Okamoto

A MDL-based Model of Gender Knowledge Acquisition
Harmony Marchal, Benoît Lemaire, Maryse Bianco and Philippe Dessus

A Nearest-Neighbor Approach to the Automatic Analysis of Ancient Greek Morphology
John Lee

A Tree-to-String Phrase-based Model for Statistical Machine Translation
Thai Phuong Nguyen, Akira Shimazu, Bao Tu Ho, Minh Le Nguyen and Vinh Van Nguyen

Acquiring Knowledge from the Web to be used as Selectors for Noun Sense Disambiguation
Hansen Schwartz and Fernando Gomez

An Incremental Bayesian Model for Learning Syntactic Categories
Christopher Parisien, Afsaneh Fazly and Suzanne Stevenson

Automatic Chinese Catchword Extraction Based on Time Series Analysis
Han Ren, Donghong Ji, Jing Wan and Lei Han

Baby SRL: Modeling Early Language Acquisition
Michael Connor, Yael Gertner, Cynthia Fisher and Dan Roth

Context-based Arabic Morphological Analysis for Machine Translation
Thuy Linh Nguyen and Stephan Vogel

Easy as ABC? Facilitating Pictorial Communication via Semantically Enhanced Layout
Andrew B. Goldberg, Xiaojin Zhu, Charles R. Dyer, Mohamed Eldawy and Lijie Heng

Fast Mapping in Word Learning: What Probabilities Tell Us
Afra Alishahi, Afsaneh Fazly and Suzanne Stevenson

Fully Unsupervised Graph-Based Discovery of General-Specific Noun Relationships from Web Corpora Frequency Counts
Gaël Dias, Raycho Mukelov and Guillaume Cleuziou

Improving Word Segmentation by Simultaneously Learning Phonotactics
Daniel Blanchard and Jeffrey Heinz

Linguistic features in data-driven dependency parsing
Lilja Øvrelid

Picking them up and Figuring them out: Verb-Particle Constructions, Noise and Idiomaticity
Carlos Ramisch, Aline Villavicencio, Leonardo Moura and Marco Idiart

Semantic Parsing for High-Precision Semantic Role Labelling
Paola Merlo and Gabriele Musillo

TAG, Dynamic Programming, and the Perceptron, for Efficient, Feature-Rich Parsing
Xavier Carreras, Michael Collins and Terry Koo

Trainable Speaker-Based Referring Expression Generation
Giuseppe Di Fabbrizio, Amanda Stent and Srinivas Bangalore

Transforming Meaning Representation Grammars to Improve Semantic Parsing
Rohit Kate

Using LDA to detect semantically incoherent documents
Hemant Misra, Olivier Cappe and Francois Yvon


Last update: July 04, 2008. e.f.tjong.kim.sang(at)rug.nl