Extracting Information from Archaeological Texts

被引:7
|
作者
Kintigh, Keith W. [1 ]
机构
[1] Arizona State Univ, Sch Human Evolut & Social Change, Box 872402, Tempe, AZ 85282 USA
来源
OPEN ARCHAEOLOGY | 2015年 / 1卷 / 01期
关键词
synthesis; digital repositories; natural language processing; automated translation; automated reasoning;
D O I
10.1515/opar-2015-0004
中图分类号
K85 [文物考古];
学科分类号
0601 ;
摘要
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.
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页码:96 / 101
页数:6
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