Document Type
Preprint
Publication Date
1-1-2018
Journal / Book Title
Icaart 2018 Proceedings of the 10th International Conference on Agents and Artificial Intelligence
Abstract
This paper describes experiments in English and Russian automatic idiom detection. Our algorithm is based on the idea that literal and idiomatic expressions appear in different contexts. This difference is captured by our distributional semantics model. We evaluate our model on both languages and compare its results. We show that our model is language-independent. We also describe a new annotated resource we created for our experiments.
DOI
10.5220/0006733806750682
Montclair State University Digital Commons Citation
Peng, Jing; Aharodnik, Katsiaryna; and Feldman, Anna, "A distributional semantics model for idiom detection the case of english and Russian" (2018). Department of Computer Science Faculty Scholarship and Creative Works. 647.
https://digitalcommons.montclair.edu/compusci-facpubs/647
Comments
lngn