A Distributional Semantics Model for Idiom Detection - The Case of English and Russian

Jing Peng, Katsiaryna Aharodnik, Anna Feldman

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.

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Paper Citation


in Harvard Style

Peng J., Aharodnik K. and Feldman A. (2018). A Distributional Semantics Model for Idiom Detection - The Case of English and Russian.In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI, ISBN 978-989-758-275-2, pages 675-682. DOI: 10.5220/0006733806750682


in Bibtex Style

@conference{nlpinai18,
author={Jing Peng and Katsiaryna Aharodnik and Anna Feldman},
title={A Distributional Semantics Model for Idiom Detection - The Case of English and Russian},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI,},
year={2018},
pages={675-682},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006733806750682},
isbn={978-989-758-275-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI,
TI - A Distributional Semantics Model for Idiom Detection - The Case of English and Russian
SN - 978-989-758-275-2
AU - Peng J.
AU - Aharodnik K.
AU - Feldman A.
PY - 2018
SP - 675
EP - 682
DO - 10.5220/0006733806750682