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CASCON
2007

Removing manually generated boilerplate from electronic texts: experiments with project Gutenberg e-books

10 years 1 days ago
Removing manually generated boilerplate from electronic texts: experiments with project Gutenberg e-books
Collaborative work on unstructured or semistructured documents, such as in literature corpora or source code, often involves agreed upon templates containing metadata. These templates are not consistent across users and over time. Rule-based parsing of these templates is expensive to maintain and tends to fail as new documents are added. Statistical techniques based on frequent occurrences have the potential to identify automatically a large fraction of the templates, thus reducing the burden on the programmers. We investigate the case of the Project GutenbergTM corpus, where most documents are in ASCII format with preambles and epilogues that are often copied and pasted or manually typed. We show that a statistical approach can solve most cases though some documents require knowledge of English. We also survey various technical solutions that make our approach applicable to large data sets.
Owen Kaser, Daniel Lemire
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where CASCON
Authors Owen Kaser, Daniel Lemire
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