-
Bootstrapping a historical commodities lexicon with SKOS and DBpedia
- Author(s):
- Beatrice Alex, Jim Clifford (see profile) , Ewan Klein
- Date:
- 2014
- Item Type:
- Conference proceeding
- Conf. Title:
- 8th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH)
- Conf. Org.:
- Association for Computational Linguistics
- Conf. Loc.:
- Gothenburg, Sweden
- Conf. Date:
- April 2014
- Tag(s):
- Text mining, Commodities Histories, DBpedia
- Permanent URL:
- http://dx.doi.org/10.17613/826x-1g54
- Abstract:
- Named entity recognition for novel domains can be challenging in the absence of suitable training materials for machine-learning or lexicons and gazetteers for term look-up. We describe an approach that starts from a small, manually created word list of commodities traded in the nineteenth century, and then uses semantic web techniques to augment the list by an order of magnitude, drawing on data stored in DBpedia. This work was conducted during the Trading Consequences project on text mining and visualisation of historical documents for the study of global trading in the British empire.
- Metadata:
- xml
- Published as:
- Conference proceeding Show details
- Pub. DOI:
- 10.3115/v1/W14-06
- Publisher:
- Association for Computational Linguistics
- Pub. Date:
- 1 April 2014
- Proceeding:
- Proceedings of the 8th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH)
- Page Range:
- 13 - 21
- Status:
- Published
- Last Updated:
- 4 years ago
- License:
- All Rights Reserved
- Share this: