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The role of data in NLP: the case for dataset profiling

De Roeck, Anne (2007). The role of data in NLP: the case for dataset profiling. In: Nicolov, Nicolas; Mitkov, Ruslan and Angelova, Galia eds. Recent Advances in Natural Language Processing IV. Current issues in linguistic theory (292). Amsterdam: John Benjamin Publishing Company, pp. 259–266.

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[About the book]

This volume brings together selected and revised papers from the international conference on “Recent Advances in Natural Language Processing”, held in Borovets, Bulgaria, in September 2005. The best papers have been selected for this volume with the aim to reflect the most promising and significant trends in natural language processing. The volume covers a wide variety of topics in Natural Language Processing, including information extraction, indexing, latent semantic analysis, dependency parsing, anaphora and referring expressions, spam analysis, document classification, rhetorical relations, textual entailment, question answering, ontologies, word sense disambiguation, machine translation, treebanks and corpora.

Item Type: Book Section
Copyright Holders: 2007 John Benjamins B.V.
ISBN: 90-272-4807-9, 978-90-272-4807-7
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 28173
Depositing User: Catherine McNulty
Date Deposited: 10 Mar 2011 09:47
Last Modified: 07 Dec 2018 09:52
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