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.
引用
下载
收藏
页码:96 / 101
页数:6
相关论文
共 50 条
  • [41] Extracting information from music audio
    Department of Electrical Engineering, Columbia University, NY
    Commun ACM, 2006, 8 (32-37):
  • [42] Extracting structure information from TDHF
    Stevenson, P. D.
    Fracasso, S.
    JOURNAL OF PHYSICS G-NUCLEAR AND PARTICLE PHYSICS, 2010, 37 (06)
  • [43] EXTRACTING MOTION INFORMATION FROM LUMINANCE
    ANSTIS, SM
    PERCEPTION, 1988, 17 (03) : 341 - 341
  • [44] Extracting information from multiplex networks
    Iacovacci, Jacopo
    Bianconi, Ginestra
    CHAOS, 2016, 26 (06)
  • [45] Extracting information from fuzzy models
    Silipo, Rosaria
    Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS, 2000, : 44 - 48
  • [46] Extracting Planning Operators from Instructional Texts for Behaviour Interpretation
    Yordanova, Kristina
    KI 2018: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2018, 11117 : 215 - 228
  • [47] Extracting drug-drug interactions from biomedical texts
    Segura-Bedmar, Isabel
    Martinez, Paloma
    de Pablo-Sanchez, Cesar
    BMC BIOINFORMATICS, 2010, 11
  • [48] A BOOTSTRAPPING METHOD FOR EXTRACTING PARAPHRASES OF EMOTION EXPRESSIONS FROM TEXTS
    Keshtkar, Fazel
    Inkpen, Diana
    COMPUTATIONAL INTELLIGENCE, 2013, 29 (03) : 417 - 435
  • [49] Combined Classification for Extracting Named Entities from Arabic Texts
    Trabelsi, Feriel Ben Fraj
    Zribi, Chiraz Ben Othmane
    Kouki, Wiem
    2015 FIRST INTERNATIONAL CONFERENCE ON ARABIC COMPUTATIONAL LINGUISTICS (ACLING 2015): ADVANCES IN ARABIC COMPUTATIONAL LINGUISTICS, 2015, : 55 - 60
  • [50] Extracting semistructured information from Web
    Huang, Yu-Qing
    Qi, Guang-Zhi
    Zhang, Fu-Yan
    Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design & Computer Graphics, 2000, 12 (03): : 230 - 234