CoNLL 2008

41 papers

Applying Sentence Simplification to the CoNLL-2008 Shared Task

David Vickrey, Daphne Koller

Probabilistic Model for Syntactic and Semantic Dependency Parsing

Enhong Chen, Liu Shi, Dawei Hu

DeSRL: A Linear-Time Semantic Role Labeling System

Massimiliano Ciaramita, Giuseppe Attardi, Felice Dell’Orletta, Mihai Surdeanu

Dependency Tree-based SRL with Proper Pruning and Extensive Feature Engineering

Hongling Wang, Honglin Wang, Guodong Zhou, Qiaoming Zhu

Mixing and Blending Syntactic and Semantic Dependencies

Yvonne Samuelsson, Oscar Täckström, Sumithra Velupillai, Johan Eklund, Mark Fishel

The Integration of Dependency Relation Classification and Semantic Role Labeling Using Bilayer Maximum Entropy Markov Models

Weiwei Sun, Hongzhan Li, Zhifang Sui

A Cascaded Syntactic and Semantic Dependency Parsing System

Wanxiang Che, Zhenghua Li, Yuxuan Hu, Yongqiang Li, Bing Qin

Semantic Dependency Parsing using N-best Semantic Role Sequences and Roleset Information

Joo-Young Lee, Han-Cheol Cho, Hae-Chang Rim

A Pipeline Approach for Syntactic and Semantic Dependency Parsing

Yotaro Watanabe, Masakazu Iwatate, Masayuki Asahara, Yuji Matsumoto

Discriminative vs. Generative Approaches in Semantic Role Labeling

Deniz Yuret, Mehmet Ali Yatbaz, Ahmet Engin Ural

Discriminative Learning of Syntactic and Semantic Dependencies

Lu Li, Shixi Fan, Xuan Wang, Xiaolong Wang

A Puristic Approach for Joint Dependency Parsing and Semantic Role Labeling

Alexander Volokh, Günter Neumann

A Combined Memory-Based Semantic Role Labeler of English

Roser Morante, Walter Daelemans, Vincent Van Asch

Parsing Syntactic and Semantic Dependencies with Two Single-Stage Maximum Entropy Models

Hai Zhao, Chunyu Kit

Hybrid Learning of Dependency Structures from Heterogeneous Linguistic Resources

Yi Zhang, Rui Wang, Hans Uszkoreit

Collective Semantic Role Labelling with Markov Logic

Sebastian Riedel, Ivan Meza-Ruiz

A Joint Model for Parsing Syntactic and Semantic Dependencies

Xavier Lluís, Lluis Marquez

Dependency-based Syntactic–Semantic Analysis with PropBank and NomBank

Richard Johansson, Pierre Nugues

A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies

James Henderson, Paola Merlo, Gabriele Musillo, Ivan Titov

The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies

Mihai Surdeanu, Richard Johansson, Adam Meyers, Lluis Marquez, Joakim Nivre

Trainable Speaker-Based Referring Expression Generation

Giuseppe Di Fabbrizio, Amanda Stent, Srinivas Bangalore

A Tree-to-String Phrase-based Model for Statistical Machine Translation

Thai Phuong Nguyen, Akira Shimazu, Tu-Bao Ho, Minh Le Nguyen, Vinh Van Nguyen

Context-based Arabic Morphological Analysis for Machine Translation

ThuyLinh Nguyen, Stephan Vogel

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

John Lee

Easy as ABC? Facilitating Pictorial Communication via Semantically Enhanced Layout

Andrew B. Goldberg, Xiaojin Zhu, Charles R. Dyer, Mohamed Eldawy, Lijie Heng

Automatic Chinese Catchword Extraction Based on Time Series Analysis

Han Ren, Donghong Ji, Jing Wan, Lei Han

Acquiring Knowledge from the Web to be used as Selectors for Noun Sense Disambiguation

Hansen A. Schwartz, Fernando Gomez

Fully Unsupervised Graph-Based Discovery of General-Specific Noun Relationships from Web Corpora Frequency Counts

Gaël Dias, Raycho Mukelov, Guillaume Cleuziou

An Incremental Bayesian Model for Learning Syntactic Categories

Christopher Parisien, Afsaneh Fazly, Suzanne Stevenson

Baby SRL: Modeling Early Language Acquisition.

Michael Connor, Yael Gertner, Cynthia Fisher, Dan Roth

A MDL-based Model of Gender Knowledge Acquisition

Harmony Marchal, Benoît Lemaire, Maryse Bianco, Philippe Dessus

Improving Word Segmentation by Simultaneously Learning Phonotactics

Daniel Blanchard, Jeffrey Heinz

Fast Mapping in Word Learning: What Probabilities Tell Us

Afra Alishahi, Afsaneh Fazly, Suzanne Stevenson

Picking them up and Figuring them out: Verb-Particle Constructions, Noise and Idiomaticity

Carlos Ramisch, Aline Villavicencio, Leonardo Moura, Marco Idiart

Using LDA to detect semantically incoherent documents

Hemant Misra, Olivier Cappe, François Yvon

Transforming Meaning Representation Grammars to Improve Semantic Parsing

Rohit Kate

Linguistic features in data-driven dependency parsing

Lilja Ovrelid

A Fast Boosting-based Learner for Feature-Rich Tagging and Chunking

Tomoya Iwakura, Seishi Okamoto

TAG, Dynamic Programming, and the Perceptron for Efficient, Feature-Rich Parsing

Xavier Carreras, Michael Collins, Terry Koo

Semantic Parsing for High-Precision Semantic Role Labelling

Paola Merlo, Gabriele Musillo

CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning

Alexander Clark, Kristina Toutanova