Affiliation:
1. 1School of Human Evolution & Social Change, Box 872402, Arizona State University, Tempe AZ 85282-4002 USA
Abstract
AbstractTo 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.
Subject
Education,Archaeology,Conservation
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