CoNLL: Proceedings of the Conference on Computational Natural Language Learning 2008: all accepted papers
- A Cascaded Syntactic and Semantic Dependency Parsing System ↗Wanxiang Che, Zhenghua Li, Yuxuan Hu et al.
- A Combined Memory-Based Semantic Role Labeler of EnglishRoser Morante, Walter Daelemans, Vincent Van Aschour summary
- A Fast Boosting-based Learner for Feature-Rich Tagging and Chunking ↗Tomoya Iwakura, Seishi Okamoto
- A Joint Model for Parsing Syntactic and Semantic Dependencies ↗Xavier Lluís, Lluís Màrquez
- A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies ↗James Henderson, Paola Merlo, Gabriele Musillo et al.
- A MDL-based Model of Gender Knowledge Acquisition ↗Harmony Marchal, Benoît Lemaire, Maryse Bianco et al.
- A Pipeline Approach for Syntactic and Semantic Dependency Parsing ↗Yotaro Watanabe, Masakazu Iwatate, Masayuki Asahara et al.
- A Puristic Approach for Joint Dependency Parsing and Semantic Role Labeling ↗Alexander Volokh, Günter Neumann
- A Tree-to-String Phrase-based Model for Statistical Machine Translation ↗Thai Phuong Nguyen, Akira Shimazu, Tu-Bao Ho et al.
- Acquiring Knowledge from the Web to be used as Selectors for Noun Sense Disambiguation ↗Hansen A. Schwartz, Fernando Gomez
- An Incremental Bayesian Model for Learning Syntactic Categories ↗Christopher Parisien, Afsaneh Fazly, Suzanne Stevenson
- Applying Sentence Simplification to the CoNLL-2008 Shared Task ↗David Vickrey, Daphne Koller
- Automatic Chinese Catchword Extraction Based on Time Series Analysis ↗Han Ren, Donghong Ji, Jing Wan et al.
- Baby SRL: Modeling Early Language Acquisition. ↗Michael Connor, Yael Gertner, Cynthia Fisher et al.
- Collective Semantic Role Labelling with Markov Logic ↗Sebastian Riedel, Ivan Meza-Ruiz
- Context-based Arabic Morphological Analysis for Machine TranslationThuyLinh Nguyen, Stephan Vogelour summary
- DeSRL: A Linear-Time Semantic Role Labeling System ↗Massimiliano Ciaramita, Giuseppe Attardi, Felice Dell'Orletta et al.
- Dependency Tree-based SRL with Proper Pruning and Extensive Feature Engineering ↗Hongling Wang, Honglin Wang, Guodong Zhou et al.
- Dependency-based Syntactic–Semantic Analysis with PropBank and NomBank ↗Richard Johansson, Pierre Nugues
- Discriminative Learning of Syntactic and Semantic Dependencies ↗Lu Li, Shixi Fan, Xuan Wang et al.
- Discriminative vs. Generative Approaches in Semantic Role Labeling ↗Deniz Yuret, Mehmet Ali Yatbaz, Ahmet Engin Ural
- Easy as ABC? Facilitating Pictorial Communication via Semantically Enhanced Layout ↗Andrew B. Goldberg, Xiaojin Zhu, Charles R. Dyer et al.
- Fast Mapping in Word Learning: What Probabilities Tell Us ↗Afra Alishahi, Afsaneh Fazly, Suzanne Stevenson
- Fully Unsupervised Graph-Based Discovery of General-Specific Noun Relationships from Web Corpora Frequency Counts ↗Gaël Dias, Raycho Mukelov, Guillaume Cleuziou
- Hybrid Learning of Dependency Structures from Heterogeneous Linguistic Resources ↗Yi Zhang, Rui Wang, Hans Uszkoreit
- Improving Word Segmentation by Simultaneously Learning Phonotactics ↗Daniel Blanchard, Jeffrey Heinz
- Mixing and Blending Syntactic and Semantic Dependencies ↗Yvonne Samuelsson, Oscar Täckström, Sumithra Velupillai et al.
- Picking them up and Figuring them out: Verb-Particle Constructions, Noise and Idiomaticity ↗Carlos Ramisch, Aline Villavicencio, Leonardo Moura et al.
- Probabilistic Model for Syntactic and Semantic Dependency Parsing ↗Enhong Chen, Liu Shi, Dawei Hu
- Semantic Dependency Parsing using N-best Semantic Role Sequences and Roleset Information ↗Joo-Young Lee, Han-Cheol Cho, Hae-Chang Rim
- Semantic Parsing for High-Precision Semantic Role Labelling ↗Paola Merlo, Gabriele Musillo
- TAG, Dynamic Programming, and the Perceptron for Efficient, Feature-Rich Parsing ↗Xavier Carreras, Michael Collins, Terry Koo
- The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic DependenciesMihai Surdeanu, Richard Johansson, Adam Meyers et al.our summary
- The Integration of Dependency Relation Classification and Semantic Role Labeling Using Bilayer Maximum Entropy Markov Models ↗Weiwei Sun, Hongzhan Li, Zhifang Sui
- Trainable Speaker-Based Referring Expression Generation ↗Giuseppe Di Fabbrizio, Amanda Stent, Srinivas Bangalore
- Using LDA to detect semantically incoherent documents ↗Hemant Misra, Olivier Cappé, François Yvon
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