| Title | A Framework for Temporal Resolution |
| Author(s) |
Georgiana Puşcaşu
University of Wolverhampton, United Kingdom |
| Session | P22-W |
| Abstract | The ability to identify and analyse temporal information is important for a variety of natural language applications, such as information extraction, question answering and multi-document summarisation. This paper discusses the automatic annotation of temporal information in newswire texts. The temporal tagger adheres to a framework initially designed for anaphora resolution and recently adapted for temporal resolution. It achieves an accuracy of 83.66% in identifying and labelling temporal expressions. |
| Keyword(s) | temporal resolution, automatic temporal annotation, three layered architecture |
| Language(s) | English |
| Full Paper | 664.pdf |