Vlachidis, A;
(2019)
Reflections on Excavating Archaeological Grey Literature: and on the Challenges in Information Extraction.
Presented at: Big Data in Archaeology: Practicalities and Possibilities, Cambridge, UK.
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Abstract
The largely unpublished reports generated by commercial or “rescue” archaeology, commonly known as “grey literature” contain a great deal of untapped information, highly relevant to the research and analysis of archaeological evidence. The presentation unfolds experiences and challenges in using Natural Language Processing techniques for "unlocking" and surfacing information from unstructured textual input, delivering structured outputs which enable new information access methods, based on linking worded representations to ontological definitions and formalisations for the purposes of information retrieval from heterogeneous data sources. The role of Named Entity Recognition, Relation Extraction, Negation Detection, and Word-Sense Disambiguation is presentedin connection to a semantic annotation and automatic metadata generation endeavour, which spanned over ten years and two research projects, focusing on English, Dutch and Swedish grey literature.
Type: | Conference item (Presentation) |
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Title: | Reflections on Excavating Archaeological Grey Literature: and on the Challenges in Information Extraction |
Event: | Big Data in Archaeology: Practicalities and Possibilities |
Location: | Cambridge, UK |
Dates: | 27 - 28 March 2019 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://www.arch.cam.ac.uk/institutes-and-faciliti... |
Language: | English |
Keywords: | Information Extraction, Archaeological Data, Grey Literature, Semantic Indexing |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities > Dept of Information Studies |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10071321 |
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