The web as a baseline: Evaluating the performance of unsupervised web-based models for a range of nlp tasks (2004)

by Mirella Lapata , Frank Keller
Venue:In Proc. of Human Language Technologies - North American Chapter of the Association for Computational Linguistics (HLT-NAACL
Citations:40 - 1 self

Active Bibliography

63 Web-based models for natural language processing – Mirella Lapata, Frank Keller - 2005
1 Unsupervised Acquisition of Lexical Knowledge From N-grams: Final Report of the 2009 JHU CLSP Workshop – Dekang Lin, Kenneth Church, Heng Ji, Satoshi Sekine, David Yarowsky, Shane Bergsma, Kailash Patil, Emily Pitler, Rachel Lathbury, Vikram Rao, Kapil Dalwani, Sushant Narsale
31 Using the Web to Overcome Data Sparseness – Frank Keller, Maria Lapata, Olga Ourioupina - 2002
137 Using the web to obtain frequencies for unseen bigrams. Comput. Linguist – Frank Keller, Mirella Lapata - 2003
Exploiting Syntactic and Distributional Information for Spelling Correction with Web-Scale N-gram Models – Wei Xu C
52 Correcting Real-Word Spelling Errors by Restoring Lexical Cohesion – Graeme Hirst, Alexander Budanitsky - 2001
5 Learning to Find Context-Based Spelling Errors – H. Al-Mubaid, K. Truemper - 2001
103 Scaling to Very Very Large Corpora for Natural Language Disambiguation – Michele Banko, Eric Brill - 2001
14 Mitigating the Paucity-of-Data Problem: Exploring the Effect of Training Corpus Size on Classifier Performance for Natural Language Processing – Michele Banko, Eric Brill - 2001
Large-Scale Semi-Supervised Learning for Natural Language Processing – Shane Bergsma - 2010
19 Measures and Applications of Lexical Distributional Similarity – Julie Elizabeth Weeds - 2003
1 Machine Learning Approach for Context-Sensitive Error Detection – Hisham Al-mubaid, Shashanka Nagula - 2005
Augmented Mixture Models for Lexical Disambiguation – Silviu Cucerzan And - 2002
10 Augmented Mixture Models for Lexical Disambiguation – Silviu Cucerzan , David Yarowsky - 2002
3 I saw TREE trees in the park: How to correct real-word spelling mistakes – Davide Fossati, Barbara Di Eugenio
86 A Winnow-Based Approach to Context-Sensitive Spelling Correction – Andrew R. Golding, Dan Roth, J. Mooney, Claire Cardie - 1999
13 Creating Robust Supervised Classifiers via Web-Scale N-gram Data – Shane Bergsma, Emily Pitler, Dekang Lin
unknown title – Antal Van Den Bosch
Token merging in language model-based confusible – Herman Stehouwer, Menno Van Zaanen