Detecting Metaphorical Phrases in the Polish Language

Aleksander Wawer, Agnieszka Mykowiecka


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
Bibkey:
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)
Copy Citation:
PDF:
https://doi.org/10.26615/978-954-452-049-6_099