Abstract
The paper investigates the extent of the support semi-automatic analysis can provide for the specific task of assigning Hohfeldian relations of Duty, using the General Architecture for Text Engineering tool for the automated extraction of Duty instances and the bearers of associated roles. The outcome of the analysis supports scholars in identifying Hohfeldian structures in legal text when performing close reading of the texts. A cyclic workflow involving automated annotation and expert feedback will incrementally increase the quality and coverage of the automatic extraction process, and increasingly reduce the amount of manual work required of the scholar.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016 |
| Publisher | European Language Resources Association (ELRA) |
| Pages | 379-384 |
| Number of pages | 6 |
| ISBN (Electronic) | 9782951740891 |
| Publication status | Published - 2016 |
| Event | 10th International Conference on Language Resources and Evaluation, LREC 2016 - Portoroz, Slovenia Duration: 23 May 2016 → 28 May 2016 |
Conference
| Conference | 10th International Conference on Language Resources and Evaluation, LREC 2016 |
|---|---|
| Country/Territory | Slovenia |
| City | Portoroz |
| Period | 23/05/16 → 28/05/16 |
Keywords
- Hohfeld
- Information extraction
- Legal relations
- Text analysis