Feature Extraction, Construction and Selection: A Data Mining Perspective
Feature Extraction, Construction and Selection: A Data Mining Perspective
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Applied morphological processing of English
Natural Language Engineering
Transformation-based learning in the fast lane
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Comma restoration using constituency information
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
The second release of the RASP system
COLING-ACL '06 Proceedings of the COLING/ACL on Interactive presentation sessions
Unsupervised Multilingual Sentence Boundary Detection
Computational Linguistics
Natural Language Processing with Python
Natural Language Processing with Python
Panning for EBMT gold, or "Remembering not to forget"
Machine Translation
Correcting comma errors in learner essays, and restoring commas in newswire text
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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This paper explores the use of machine learning techniques to restore punctuation and case in English text, as part of which it investigates the co-dependence of case information and punctuation. We achieve an overall F-score of .619 for the task using a variety of lexical and contextual features, and iterative retagging.