User Requirement Solicitation for an Information Retrieval System Applied to Dutch Grey Literature in the Archaeology Domain

In this paper, we present the results of user requirement solicitation for a search system of grey literature in archaeology, specifically Dutch excavation reports. This search system uses Named Entity Recognition and Information Retrieval techniques to create an effective and effortless search experience. Specifically, we used Conditional Random Fields to identify entities, with an average accuracy of 56%. This is a baseline result, and we identified many possibilities for improvement. These entities were indexed in ElasticSearch and a user interface was developed on top of the index. This pr... Mehr ...

Verfasser: Brandsen, Alex
Lambers, Karsten
Verberne, Suzan
Wansleeben, Milco
Dokumenttyp: Artikel
Erscheinungsdatum: 2019
Verlag/Hrsg.: Ubiquity Press
Schlagwörter: Grey Literature / Named Entity Recognition / Information Retrieval / Big Data / Machine Learning
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26634418
Datenquelle: BASE; Originalkatalog
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Link(s) : https://account.journal.caa-international.org/index.php/up-j-jcaa/article/view/33