CoNLL-2008 | Coling 2008 | ICCL

Twelfth Conference on Computational Natural Language Learning

Venue: University Place, Oxford Road M13 9PL, Manchester, United Kingdom (map)

Conference PROGRAMME

Saturday, August 16, 2008

8:30–8:50Opening Remarks
 Session 1: Parsing
8:50–9:15Semantic Parsing for High-Precision Semantic Role Labelling
Paola Merlo and Gabriele Musillo
9:15–9:40TAG, Dynamic Programming, and the Perceptron for Efficient, Feature-Rich Parsing
Xavier Carreras, Michael Collins and Terry Koo
9:40–10:05A Fast Boosting-based Learner for Feature-Rich Tagging and Chunking
Tomoya Iwakura and Seishi Okamoto
10:05–10:30Linguistic features in data-driven dependency parsing
Lilja Ovrelid
10:30-11:00coffee break
 Session 2: Semantics
11:00–11:25Transforming Meaning Representation Grammars to Improve Semantic Parsing
Rohit Kate
11:25–11:50Using LDA to detect semantically incoherent documents
Hemant Misra, Olivier Cappe and Francois Yvon
11:50–12:40Invited talk by Regina Barzilay
 Shared Task
14:00–14:30The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies
Mihai Surdeanu, Richard Johansson, Adam Meyers, Lluís Màrquez and Joakim Nivre
 Oral Presentations
14:30–14:50A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies
James Henderson, Paola Merlo, Gabriele Musillo and Ivan Titov
14:50–15:10Dependency-based Syntactic–Semantic Analysis with PropBank and NomBank
Richard Johansson and Pierre Nugues
15:10–15:30A Joint Model for Parsing Syntactic and Semantic Dependencies
Xavier Lluís and Lluís Màrquez
15:30–15:50Collective Semantic Role Labelling with Markov Logic
Sebastian Riedel and Ivan Meza-Ruiz
15:50–16:10Hybrid Learning of Dependency Structures from Heterogeneous Linguistic Resources
Yi Zhang, Rui Wang and Hans Uszkoreit
16:10-16:20Closing remarks
16:20-16:45Coffee break
 Poster session 16:45–18:00
 Parsing Syntactic and Semantic Dependencies with Two Single-Stage Maximum Entropy Models
Hai Zhao and Chunyu Kit
 A Combined Memory-Based Semantic Role Labeler of English
Roser Morante, Walter Daelemans and Vincent Van Asch
 A Puristic Approach for Joint Dependency Parsing and Semantic Role Labeling
Alexander Volokh and Günter Neumann
 Discriminative Learning of Syntactic and Semantic Dependencies
Lu Li, Shixi Fan, Xuan Wang and Xiaolong Wang
 Discriminative vs. Generative Approaches in Semantic Role Labeling
Deniz Yuret, Mehmet Ali Yatbaz and Ahmet Engin Ural
 A Pipeline Approach for Syntactic and Semantic Dependency Parsing
Yotaro Watanabe, Masakazu Iwatate, Masayuki Asahara and Yuji Matsumoto
 Semantic Dependency Parsing using N-best Semantic Role Sequences and Roleset Information
Joo-Young Lee, Han-Cheol Cho and Hae-Chang Rim
 A Cascaded Syntactic and Semantic Dependency Parsing System
Wanxiang Che, Zhenghua Li, Yuxuan Hu, Yongqiang Li, Bing Qin, Ting Liu and Sheng Li
 The Integration of Dependency Relation Classification and Semantic Role Labeling Using Bilayer Maximum Entropy Markov Models
Weiwei Sun, Hongzhan Li and Zhifang Sui
 Mixing and Blending Syntactic and Semantic Dependencies
Yvonne Samuelsson, Oscar Täckström, Sumithra Velupillai, Johan Eklund, Mark Fishel and Markus Saers
 Dependency Tree-based SRL with Proper Pruning and Extensive Feature Engineering
Hongling Wang, Honglin Wang, Guodong Zhou and Qiaoming Zhu
 DeSRL: A Linear-Time Semantic Role Labeling System
Massimiliano Ciaramita, Giuseppe Attardi, Felice Dell’Orletta and Mihai Surdeanu
 Probabilistic Model for Syntactic and Semantic Dependency Parsing
Enhong Chen, Liu Shi and Dawei Hu
 Applying Sentence Simplification to the CoNLL-2008 Shared Task
David Vickrey and Daphne Koller

Sunday, August 17, 2008

 Session 1: Language Acquisition I
8:50–9:15Picking them up and Figuring them out: Verb-Particle Constructions, Noise and Idiomaticity
Carlos Ramisch, Aline Villavicencio, Leonardo Moura and Marco Idiart
9:15–9:40Fast Mapping in Word Learning: What Probabilities Tell Us
Afra Alishahi, Afsaneh Fazly and Suzanne Stevenson
9:40–10:05Improving Word Segmentation by Simultaneously Learning Phonotactics
Daniel Blanchard and Jeffrey Heinz
10:05–10:30A MDL-based Model of Gender Knowledge Acquisition
Harmony Marchal, Benoît Lemaire, Maryse Bianco and Philippe Dessus
10:30–11:00Coffee break
 Session 2: Language Acquisition II
11:00–11:25Baby SRL: Modeling Early Language Acquisition.
Michael Connor, Yael Gertner, Cynthia Fisher and Dan Roth
11:25–11:50An Incremental Bayesian Model for Learning Syntactic Categories
Christopher Parisien, Afsaneh Fazly and Suzanne Stevenson
11:50–12:40Invited talk by Nick Chater
13:30–14:00SIGNLL Business Meeting
 Session 3: Semantic extraction
14:00–14:25Fully Unsupervised Graph-Based Discovery of General-Specific Noun Relationships from Web Corpora Frequency Counts
Gaël Dias, Raycho Mukelov and Guillaume Cleuziou
14:25–14:50Acquiring Knowledge from the Web to be used as Selectors for Noun Sense Disambiguation
Hansen A. Schwartz and Fernando Gomez
14:50–15:15Automatic Chinese Catchword Extraction Based on Time Series Analysis
Han Ren, Donghong Ji, Jing Wan and Lei Han
15:15–15:40Easy as ABC? Facilitating Pictorial Communication via Semantically Enhanced Layout
Andrew B. Goldberg, Xiaojin Zhu, Charles R. Dyer, Mohamed Eldawy and Lijie Heng
15:40–16:00Coffee break
 Session 4: Morphology, MT and Generation
16:00–16:25A Nearest-Neighbor Approach to the Automatic Analysis of Ancient Greek Morphology
John Lee
16:25–16:50Context-based Arabic Morphological Analysis for Machine Translation
Thuy Linh Nguyen and Stephan Vogel
16:50–17:15A Tree-to-String Phrase-based Model for Statistical Machine Translation
Thai Phuong Nguyen, Akira Shimazu, Tu Bao Ho, Minh Le Nguyen and Vinh Van Nguyen
17:15–17:40Trainable Speaker-Based Referring Expression Generation
Giuseppe Di Fabbrizio, Amanda Stent and Srinivas Bangalore
17:40–18:00Closing remarks and best paper award