


default search action
12th CoNLL 2008: Manchester, UK
- Alexander Clark, Kristina Toutanova:

Proceedings of the Twelfth Conference on Computational Natural Language Learning, CoNLL 2008, Manchester, UK, August 16-17, 2008. ACL 2008, ISBN 978-1-905593-48-4 - Paola Merlo, Gabriele Musillo:

Semantic Parsing for High-Precision Semantic Role Labelling. 1-8 - Xavier Carreras, Michael Collins, Terry Koo:

TAG, Dynamic Programming, and the Perceptron for Efficient, Feature-Rich Parsing. 9-16 - Tomoya Iwakura, Seishi Okamoto:

A Fast Boosting-based Learner for Feature-Rich Tagging and Chunking. 17-24 - Lilja Øvrelid:

Linguistic features in data-driven dependency parsing. 25-32 - Rohit J. Kate:

Transforming Meaning Representation Grammars to Improve Semantic Parsing. 33-40 - Hemant Misra, Olivier Cappé, François Yvon:

Using LDA to detect semantically incoherent documents. 41-48 - Carlos Ramisch, Aline Villavicencio, Leonardo Moura, Marco Idiart:

Picking them up and Figuring them out: Verb-Particle Constructions, Noise and Idiomaticity. 49-56 - Afra Alishahi, Afsaneh Fazly, Suzanne Stevenson:

Fast Mapping in Word Learning: What Probabilities Tell Us. 57-64 - Daniel Blanchard, Jeffrey Heinz:

Improving Word Segmentation by Simultaneously Learning Phonotactics. 65-72 - Harmony Marchal, Benoît Lemaire, Maryse Bianco, Philippe Dessus:

A MDL-based Model of Gender Knowledge Acquisition. 73-80 - Michael Connor, Yael Gertner, Cynthia Fisher, Dan Roth:

Baby SRL: Modeling Early Language Acquisition. 81-88 - Christopher Parisien, Afsaneh Fazly, Suzanne Stevenson:

An Incremental Bayesian Model for Learning Syntactic Categories. 89-96 - Gaël Dias, Raycho Mukelov, Guillaume Cleuziou:

Fully Unsupervised Graph-Based Discovery of General-Specific Noun Relationships from Web Corpora Frequency Counts. 97-104 - Hansen Andrew Schwartz, Fernando Gomez:

Acquiring Knowledge from the Web to be used as Selectors for Noun Sense Disambiguation. 105-112 - Han Ren, Donghong Ji, Jing Wan, Lei Han:

Automatic Chinese Catchword Extraction Based on Time Series Analysis. 113-118 - Andrew B. Goldberg, Xiaojin Zhu, Charles R. Dyer, Mohamed Eldawy, Lijie Heng:

Easy as ABC? Facilitating Pictorial Communication via Semantically Enhanced Layout. 119-126 - John Lee:

A Nearest-Neighbor Approach to the Automatic Analysis of Ancient Greek Morphology. 127-134 - ThuyLinh Nguyen, Stephan Vogel:

Context-based Arabic Morphological Analysis for Machine Translation. 135-142 - Thai Phuong Nguyen, Akira Shimazu, Tu Bao Ho, Minh Le Nguyen, Vinh Van Nguyen:

A Tree-to-String Phrase-based Model for Statistical Machine Translation. 143-150 - Giuseppe Di Fabbrizio, Amanda Stent, Srinivas Bangalore:

Trainable Speaker-Based Referring Expression Generation. 151-158 - Mihai Surdeanu, Richard Johansson, Adam Meyers, Lluís Màrquez, Joakim Nivre:

The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies. 159-177 - James Henderson, Paola Merlo, Gabriele Musillo, Ivan Titov:

A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies. 178-182 - Richard Johansson, Pierre Nugues:

Dependency-based Syntactic-Semantic Analysis with PropBank and NomBank. 183-187 - Xavier Lluís, Lluís Màrquez:

A Joint Model for Parsing Syntactic and Semantic Dependencies. 188-192 - Sebastian Riedel, Iván V. Meza-Ruíz:

Collective Semantic Role Labelling with Markov Logic. 193-197 - Yi Zhang, Rui Wang, Hans Uszkoreit:

Hybrid Learning of Dependency Structures from Heterogeneous Linguistic Resources. 198-202 - Hai Zhao, Chunyu Kit:

Parsing Syntactic and Semantic Dependencies with Two Single-Stage Maximum Entropy Models. 203-207 - Roser Morante, Walter Daelemans, Vincent Van Asch:

A Combined Memory-Based Semantic Role Labeler of English. 208-212 - Alexander Volokh, Günter Neumann:

A Puristic Approach for Joint Dependency Parsing and Semantic Role Labeling. 213-217 - Lu Li, Shixi Fan, Xuan Wang, Xiaolong Wang:

Discriminative Learning of Syntactic and Semantic Dependencies. 218-222 - Deniz Yuret, Mehmet Ali Yatbaz, Ahmet Engin Ural:

Discriminative vs. Generative Approaches in Semantic Role Labeling. 223-227 - Yotaro Watanabe, Masakazu Iwatate, Masayuki Asahara, Yuji Matsumoto:

A Pipeline Approach for Syntactic and Semantic Dependency Parsing. 228-232 - Joo-Young Lee, Han-Cheol Cho, Hae-Chang Rim:

Semantic Dependency Parsing using N-best Semantic Role Sequences and Roleset Information. 233-237 - Wanxiang Che, Zhenghua Li, Yuxuan Hu, Yongqiang Li, Bing Qin, Ting Liu, Sheng Li:

A Cascaded Syntactic and Semantic Dependency Parsing System. 238-242 - Weiwei Sun, Hongzhan Li, Zhifang Sui:

The Integration of Dependency Relation Classification and Semantic Role Labeling Using Bilayer Maximum Entropy Markov Models. 243-247 - Yvonne Samuelsson, Oscar Täckström, Sumithra Velupillai, Johan Eklund, Mark Fishel, Markus Saers:

Mixing and Blending Syntactic and Semantic Dependencies. 248-252 - Hongling Wang, Honglin Wang, Guodong Zhou, Qiaoming Zhu:

Dependency Tree-based SRL with Proper Pruning and Extensive Feature Engineering. 253-257 - Massimiliano Ciaramita, Giuseppe Attardi, Felice Dell'Orletta, Mihai Surdeanu:

DeSRL: A Linear-Time Semantic Role Labeling System. 258-262 - Enhong Chen, Liu Shi, Dawei Hu:

Probabilistic Model for Syntactic and Semantic Dependency Parsing. 263-267 - David Vickrey, Daphne Koller:

Applying Sentence Simplification to the CoNLL-2008 Shared Task. 268-272

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID














