Abstract
We describe an XML-encoded corpus of texts in the legal domain which was gathered for an automatic summarisation project. We describe two distinct
layers of annotation: manual annotation of the rhetorical status of sentences and an entirely automatic annotation process incorporating a host of individual linguistic processors. The manual rhetorical status annotation has been developed as training
and testing material for a summarisation system based on the work of Teufel and Moens, while the automatic layer of annotation encodes linguistic information as features for a machine learning approach to rhetorical status classification.
layers of annotation: manual annotation of the rhetorical status of sentences and an entirely automatic annotation process incorporating a host of individual linguistic processors. The manual rhetorical status annotation has been developed as training
and testing material for a summarisation system based on the work of Teufel and Moens, while the automatic layer of annotation encodes linguistic information as features for a machine learning approach to rhetorical status classification.
| Original language | English |
|---|---|
| Title of host publication | In Proceedings of the 5th International Workshop on Linguistically Interpreted Corpora |
| Number of pages | 7 |
| DOIs | |
| Publication status | Published - 2004 |