BiographyNet: Methodological issues when NLP supports historical research
| Authors |
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| Publication date | 2014 |
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| Book title | Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014 |
| Book subtitle | May 26-31, 2014, Reykjavik, Iceland : proceedings |
| ISBN |
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| Event | 9th International Conference on Language Resources and Evaluation, LREC 2014 |
| Pages (from-to) | 3728-3735 |
| Number of pages | 8 |
| Publisher | Paris: European Language Resources Association (ELRA) |
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| Abstract |
When NLP is used to support research in the humanities, new methodological issues come into play. NLP methods may introduce a bias in their analysis that can influence the results of the hypothesis a humanities scholar is testing. This paper addresses this issue in the context of BiographyNet a multi-disciplinary project involving NLP, Linked Data and history. We introduce the project to the NLP community. We argue that it is essential for historians to get insight into the provenance of information, including how information was extracted from text by NLP tools. |
| Document type | Conference contribution |
| Language | English |
| Published at | http://www.lrec-conf.org/proceedings/lrec2014/summaries/1103.html |
| Other links | https://www.scopus.com/pages/publications/85002525057 http://www.lrec-conf.org/proceedings/lrec2014/index.html |
| Downloads |
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