Difference between revisions of "Mining Wikipedia Revision Histories for Improving Sentence Compression"
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| + | {{Infobox work | ||
| + | | title = Mining Wikipedia Revision Histories for Improving Sentence Compression | ||
| + | | date = 2008 | ||
| + | | authors = [[Elif Yamangil]]<br />[[Rani Nelken]] | ||
| + | | doi = 10.3115/1557690.1557726 | ||
| + | | link = https://dl.acm.org/citation.cfm?doid=1557690.1557726 | ||
| + | }} | ||
'''Mining Wikipedia Revision Histories for Improving Sentence Compression''' - scientific work related to [[Wikipedia quality]] published in 2008, written by [[Elif Yamangil]] and [[Rani Nelken]]. | '''Mining Wikipedia Revision Histories for Improving Sentence Compression''' - scientific work related to [[Wikipedia quality]] published in 2008, written by [[Elif Yamangil]] and [[Rani Nelken]]. | ||
== Overview == | == Overview == | ||
A well-recognized limitation of research on supervised sentence compression is the dearth of available training data. Authors propose a new and bountiful resource for such training data, which authors obtain by mining the revision history of [[Wikipedia]] for sentence compressions and expansions. Using only a fraction of the available Wikipedia data, authors have collected a training corpus of over 380,000 sentence pairs, two orders of magnitude larger than the standardly used Ziff-Davis corpus. Using this new-found data, authors propose a novel lexicalized noisy channel model for sentence compression, achieving improved results in grammaticality and compression rate criteria with a slight decrease in importance. | A well-recognized limitation of research on supervised sentence compression is the dearth of available training data. Authors propose a new and bountiful resource for such training data, which authors obtain by mining the revision history of [[Wikipedia]] for sentence compressions and expansions. Using only a fraction of the available Wikipedia data, authors have collected a training corpus of over 380,000 sentence pairs, two orders of magnitude larger than the standardly used Ziff-Davis corpus. Using this new-found data, authors propose a novel lexicalized noisy channel model for sentence compression, achieving improved results in grammaticality and compression rate criteria with a slight decrease in importance. | ||
Revision as of 11:31, 27 March 2020
Authors | Elif Yamangil Rani Nelken |
|---|---|
Publication date | 2008 |
DOI | 10.3115/1557690.1557726 |
Links | Original |
Mining Wikipedia Revision Histories for Improving Sentence Compression - scientific work related to Wikipedia quality published in 2008, written by Elif Yamangil and Rani Nelken.
Overview
A well-recognized limitation of research on supervised sentence compression is the dearth of available training data. Authors propose a new and bountiful resource for such training data, which authors obtain by mining the revision history of Wikipedia for sentence compressions and expansions. Using only a fraction of the available Wikipedia data, authors have collected a training corpus of over 380,000 sentence pairs, two orders of magnitude larger than the standardly used Ziff-Davis corpus. Using this new-found data, authors propose a novel lexicalized noisy channel model for sentence compression, achieving improved results in grammaticality and compression rate criteria with a slight decrease in importance.
