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WS - 2008
Total Papers:- 411
Total Papers accross all years:- 21866
Total Citations :- 2498
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Coling 2008: Proceedings of the 3rd Textgraphs workshop on Graph-based Algorithms for Natural Language Processing
Irina Matveeva |
Chris Biemann |
Monojit Choudhury |
Mona Diab |
How is Meaning Grounded in Dictionary Definitions?
Alexandre Blondin Massé |
Guillaume Chicoisne |
Yassine Gargouri |
Stevan Harnad |
Odile Marcotte |
Olivier Picard |
Encoding Tree Pair-Based Graphs in Learning Algorithms: The Textual Entailment Recognition Case
Alessandro Moschitti |
Fabio Massimo Zanzotto |
Semantic Structure from Correspondence Analysis
Barbara McGillivray |
Christer Johansson |
Daniel Apollon |
Random Graph Model Simulations of Semantic Networks for Associative Concept Dictionaries
Hiroyuki Akama |
Jaeyoung Jung |
Terry Joyce |
Maki Miyake |
CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning
Alexander Clark |
Kristina Toutanova |
Fast Mapping in Word Learning: What Probabilities Tell Us
Afra Alishahi |
Afsaneh Fazly |
Suzanne Stevenson |
A MDL-based Model of Gender Knowledge Acquisition
Harmony Marchal |
Benoît Lemaire |
Maryse Bianco |
Philippe Dessus |
Fully Unsupervised Graph-Based Discovery of General-Specific Noun Relationships from Web Corpora Frequency Counts
Gaël Dias |
Raycho Mukelov |
Guillaume Cleuziou |
Automatic Chinese Catchword Extraction Based on Time Series Analysis
Han Ren |
Donghong Ji |
Jing Wan |
Lei Han |
A Nearest-Neighbor Approach to the Automatic Analysis of Ancient Greek Morphology
John Lee |
A Combined Memory-Based Semantic Role Labeler of English
Roser Morante |
Walter Daelemans |
Vincent Van Asch |
A Puristic Approach for Joint Dependency Parsing and Semantic Role Labeling
Alexander Volokh |
Günter Neumann |
Discriminative vs. Generative Approaches in Semantic Role Labeling
Deniz Yuret |
Mehmet Ali Yatbaz |
Ahmet Engin Ural |
Semantic Dependency Parsing using N-best Semantic Role Sequences and Roleset Information
Joo-Young Lee |
Han-Cheol Cho |
Hae-Chang Rim |
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