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

Jing Peng; Katsiaryna Aharodnik; Anna Feldman

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

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 2: NLPinAI, 675-682, 2018 , Funchal, Madeira, Portugal

Authors: Jing Peng ¹ ; Katsiaryna Aharodnik ² and Anna Feldman ¹

Affiliations: ¹ Montclair State University, United States ; ² CUNY Graduate Center, United States

Keyword(s): Idiom Recognition, Corpus Annotation, Distributional Semantics, English, Russian.

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.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.21.105.119

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

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 2: NLPinAI; ISBN 978-989-758-275-2; ISSN 2184-433X, SciTePress, pages 675-682. DOI: 10.5220/0006733806750682

@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 2: NLPinAI},
year={2018},
pages={675-682},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006733806750682},
isbn={978-989-758-275-2},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: NLPinAI
TI - A Distributional Semantics Model for Idiom Detection - The Case of English and Russian
SN - 978-989-758-275-2
IS - 2184-433X
AU - Peng, J.
AU - Aharodnik, K.
AU - Feldman, A.
PY - 2018
SP - 675
EP - 682
DO - 10.5220/0006733806750682
PB - SciTePress