Abstract
In this paper we describe experiments with automated detection of metaphors in the Polish language. We focus our analysis on noun phrases composed of an adjective and a noun, and distinguish three types of expressions: with literal sense, with metaphorical sense, and expressions both literal and methaphorical (context-dependent). We propose a method of automatically recognizing expression type using word embeddings and neural networks. We evaluate multiple neural network architectures and demonstrate that the method significantly outperforms strong baselines.- Anthology ID:
- R17-1099
- 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:
- 772–777
- Language:
- URL:
- https://doi.org/10.26615/978-954-452-049-6_099
- DOI:
- 10.26615/978-954-452-049-6_099
- Cite (ACL):
- Aleksander Wawer and Agnieszka Mykowiecka. 2017. Detecting Metaphorical Phrases in the Polish Language. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, pages 772–777, Varna, Bulgaria. INCOMA Ltd..
- Cite (Informal):
- Detecting Metaphorical Phrases in the Polish Language (Wawer & Mykowiecka, RANLP 2017)
- PDF:
- https://doi.org/10.26615/978-954-452-049-6_099