Semi-Automatic Construction of Skeleton Concept Maps from Case Judgments
| Authors |
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| Publication date | 2014 |
| Host editors |
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| Book title | NAiL 2014: 2nd international workshop on "Network Analysis in Law": Wednesday december 10th 2014: in conjunction with JURIX 2014: 27th International Conference on Legal Knowledge and Information Systems, Krakow, Poland |
| Event | NAiL 2014: 2nd international workshop on network analysis in law |
| Pages (from-to) | 8 |
| Publisher | Amsterdam: s.n. |
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| Abstract |
This paper proposes an approach to generating Skeleton Conceptual Maps (SCM) semi automatically from legal case documents provided by the United Kingdom’s Supreme Court. SCM are incomplete knowledge representations for the purpose of scaffolding learning. The proposed system intends to provide students with a tool to pre-process text and to extract knowledge from documents in a time saving manner. A combination of natural language processing methods and proposition extraction algorithms are used to generate the output. Conclusion is that improvements are necessary to provide results that adequately support students.
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| Document type | Conference contribution |
| Language | English |
| Published at | http://www.leibnizcenter.org/~winkels/NAiL2014-pre-proceedings.pdf |
| Downloads |
Semi-Automatic Construction of Skeleton Concept Maps from Case Judgments
(Final published version)
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