Abstract
In this article we present the result of the recent research in the recognition and normalisation of Polish temporal expressions. The temporal information extracted from the text plays major role in many information extraction systems, like question answering, event recognition or discourse analysis. We proposed a new method for the temporal expressions normalisation, called Cascade of Partial Rules. Here we describe results achieved by updated version of Liner2 machine learning system.- Anthology ID:
- R17-1051
- Volume:
- Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017
- Month:
- September
- Year:
- 2017
- Address:
- Varna, Bulgaria
- Editors:
- Ruslan Mitkov, Galia Angelova
- Venue:
- RANLP
- SIG:
- Publisher:
- INCOMA Ltd.
- Note:
- Pages:
- 387–393
- Language:
- URL:
- https://doi.org/10.26615/978-954-452-049-6_051
- DOI:
- 10.26615/978-954-452-049-6_051
- Cite (ACL):
- Jan Kocoń and Michał Marcińczuk. 2017. Improved Recognition and Normalisation of Polish Temporal Expressions. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, pages 387–393, Varna, Bulgaria. INCOMA Ltd..
- Cite (Informal):
- Improved Recognition and Normalisation of Polish Temporal Expressions (Kocoń & Marcińczuk, RANLP 2017)
- PDF:
- https://doi.org/10.26615/978-954-452-049-6_051