Abstract

To address archaeology's most pressing substantive challenges, researchers must discover, access, and extract information contained in the reports and articles that codify so much of archaeology's knowledge. These efforts will require application of existing and emerging natural language processing technologies to extensive digital corpora. Automated classification can enable development of metadata needed for the discovery of relevant documents. Although it is even more technically challenging, automated extraction of and reasoning with information from texts can provide urgently needed access to contextualized information within documents. Effective automated translation is needed for scholars to benefit from research published in other languages.

Original languageEnglish (US)
Pages (from-to)96-101
Number of pages6
JournalOpen Archaeology
Volume1
Issue number1
DOIs
StatePublished - Jan 1 2015

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archaeology
language
Archaeology
Natural Language Processing
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Metadata

Keywords

  • Automated reasoning
  • Automated translation
  • Digital repositories
  • Natural language processing
  • Synthesis

ASJC Scopus subject areas

  • Archaeology
  • Conservation
  • Education

Cite this

Extracting information from archaeological texts. / Kintigh, Keith.

In: Open Archaeology, Vol. 1, No. 1, 01.01.2015, p. 96-101.

Research output: Contribution to journalArticle

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