Introduction to the special issue on the web as corpus
Computational Linguistics - Special issue on web as corpus
HLT '01 Proceedings of the first international conference on Human language technology research
Scaling to very very large corpora for natural language disambiguation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Web-based models for natural language processing
ACM Transactions on Speech and Language Processing (TSLP)
Using the web in machine learning for other-anaphora resolution
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Effective self-training for parsing
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
A fully-lexicalized probabilistic model for Japanese syntactic and case structure analysis
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
The effect of corpus size in combining supervised and unsupervised training for disambiguation
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Using web-search results to measure word-group similarity
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
A fully-lexicalized probabilistic model for Japanese zero anaphora resolution
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
A probabilistic model for associative anaphora resolution
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
File-Access Characteristics of Data-Intensive Workflow Applications
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
A cross-lingual ILP solution to zero anaphora resolution
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
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This paper reports the effect of corpus size on case frame acquisition for discourse analysis in Japanese. For this study, we collected a Japanese corpus consisting of up to 100 billion words, and constructed case frames from corpora of six different sizes. Then, we applied these case frames to syntactic and case structure analysis, and zero anaphora resolution. We obtained better results by using case frames constructed from larger corpora; the performance was not saturated even with a corpus size of 100 billion words.