Multi-task learning using a combination of contextualised and static word embeddings for Arabic sarcasm detection and sentiment analysis

Abdullah I. Alharbi; Mark Lee

Multi-task learning using a combination of contextualised and static word embeddings for Arabic sarcasm detection and sentiment analysis

Abdullah I. Alharbi, Mark Lee

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

23 Downloads (Pure)

Abstract

Sarcasm detection and sentiment analysis are important tasks in Natural Language Understanding. Sarcasm is a type of expression where the sentiment polarity is flipped by an interfering factor. In this study, we exploited this relationship to enhance both tasks by proposing a multi-task learning approach using a combination of static and contextualised embeddings. Our proposed system achieved the best result in the sarcasm detection subtask (Abu Farha et al., 2021).

Original language	English
Title of host publication	Proceedings of the Sixth Arabic Natural Language Processing Workshop
Editors	Nizar Habash, Houda Bouamor, Hazem Hajj, Walid Magdy, Wajdi Zaghouani, Fethi Bougares, Nadi Tomeh, Ibrahim Abu Farha, Samia Touileb
Publisher	Association for Computational Linguistics, ACL
Pages	318-322
Number of pages	5
ISBN (Electronic)	9781954085091
Publication status	Published - 30 Apr 2021
Event	6th Arabic Natural Language Processing Workshop, WANLP 2021 - Virtual, Kyiv, Ukraine Duration: 19 Apr 2021 → 19 Apr 2021

Publication series

Name	Workshop on Arabic Natural Language Processing (WANLP)

Conference

Conference	6th Arabic Natural Language Processing Workshop, WANLP 2021
Country/Territory	Ukraine
City	Kyiv
Period	19/04/21 → 19/04/21

Bibliographical note

Publisher Copyright:
© WANLP 2021 - 6th Arabic Natural Language Processing Workshop

ASJC Scopus subject areas

Language and Linguistics
Computational Theory and Mathematics
Software
Linguistics and Language

Access to Document

AlharbiA2021MultiFinal published version, 372 KBLicence: Creative Commons: Attribution (CC BY)

https://aclanthology.org/2021.wanlp-1.39Licence: Creative Commons: Attribution (CC BY)

Cite this

Alharbi, A. I., & Lee, M. (2021). Multi-task learning using a combination of contextualised and static word embeddings for Arabic sarcasm detection and sentiment analysis. In N. Habash, H. Bouamor, H. Hajj, W. Magdy, W. Zaghouani, F. Bougares, N. Tomeh, I. A. Farha, & S. Touileb (Eds.), Proceedings of the Sixth Arabic Natural Language Processing Workshop (pp. 318-322). (Workshop on Arabic Natural Language Processing (WANLP)). Association for Computational Linguistics, ACL. https://aclanthology.org/2021.wanlp-1.39

Alharbi, Abdullah I. ; Lee, Mark. / Multi-task learning using a combination of contextualised and static word embeddings for Arabic sarcasm detection and sentiment analysis. Proceedings of the Sixth Arabic Natural Language Processing Workshop. editor / Nizar Habash ; Houda Bouamor ; Hazem Hajj ; Walid Magdy ; Wajdi Zaghouani ; Fethi Bougares ; Nadi Tomeh ; Ibrahim Abu Farha ; Samia Touileb. Association for Computational Linguistics, ACL, 2021. pp. 318-322 (Workshop on Arabic Natural Language Processing (WANLP)).

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title = "Multi-task learning using a combination of contextualised and static word embeddings for Arabic sarcasm detection and sentiment analysis",

abstract = "Sarcasm detection and sentiment analysis are important tasks in Natural Language Understanding. Sarcasm is a type of expression where the sentiment polarity is flipped by an interfering factor. In this study, we exploited this relationship to enhance both tasks by proposing a multi-task learning approach using a combination of static and contextualised embeddings. Our proposed system achieved the best result in the sarcasm detection subtask (Abu Farha et al., 2021).",

author = "Alharbi, \{Abdullah I.\} and Mark Lee",

note = "Publisher Copyright: {\textcopyright} WANLP 2021 - 6th Arabic Natural Language Processing Workshop; 6th Arabic Natural Language Processing Workshop, WANLP 2021 ; Conference date: 19-04-2021 Through 19-04-2021",

year = "2021",

month = apr,

day = "30",

language = "English",

series = "Workshop on Arabic Natural Language Processing (WANLP)",

publisher = "Association for Computational Linguistics, ACL",

pages = "318--322",

editor = "Nizar Habash and Houda Bouamor and Hazem Hajj and Walid Magdy and Wajdi Zaghouani and Fethi Bougares and Nadi Tomeh and Farha, \{Ibrahim Abu\} and Samia Touileb",

booktitle = "Proceedings of the Sixth Arabic Natural Language Processing Workshop",

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Alharbi, AI & Lee, M 2021, Multi-task learning using a combination of contextualised and static word embeddings for Arabic sarcasm detection and sentiment analysis. in N Habash, H Bouamor, H Hajj, W Magdy, W Zaghouani, F Bougares, N Tomeh, IA Farha & S Touileb (eds), Proceedings of the Sixth Arabic Natural Language Processing Workshop. Workshop on Arabic Natural Language Processing (WANLP), Association for Computational Linguistics, ACL, pp. 318-322, 6th Arabic Natural Language Processing Workshop, WANLP 2021, Kyiv, Ukraine, 19/04/21. <https://aclanthology.org/2021.wanlp-1.39>

Multi-task learning using a combination of contextualised and static word embeddings for Arabic sarcasm detection and sentiment analysis. / Alharbi, Abdullah I.; Lee, Mark.
Proceedings of the Sixth Arabic Natural Language Processing Workshop. ed. / Nizar Habash; Houda Bouamor; Hazem Hajj; Walid Magdy; Wajdi Zaghouani; Fethi Bougares; Nadi Tomeh; Ibrahim Abu Farha; Samia Touileb. Association for Computational Linguistics, ACL, 2021. p. 318-322 (Workshop on Arabic Natural Language Processing (WANLP)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Multi-task learning using a combination of contextualised and static word embeddings for Arabic sarcasm detection and sentiment analysis

AU - Alharbi, Abdullah I.

AU - Lee, Mark

N1 - Publisher Copyright: © WANLP 2021 - 6th Arabic Natural Language Processing Workshop

PY - 2021/4/30

Y1 - 2021/4/30

N2 - Sarcasm detection and sentiment analysis are important tasks in Natural Language Understanding. Sarcasm is a type of expression where the sentiment polarity is flipped by an interfering factor. In this study, we exploited this relationship to enhance both tasks by proposing a multi-task learning approach using a combination of static and contextualised embeddings. Our proposed system achieved the best result in the sarcasm detection subtask (Abu Farha et al., 2021).

AB - Sarcasm detection and sentiment analysis are important tasks in Natural Language Understanding. Sarcasm is a type of expression where the sentiment polarity is flipped by an interfering factor. In this study, we exploited this relationship to enhance both tasks by proposing a multi-task learning approach using a combination of static and contextualised embeddings. Our proposed system achieved the best result in the sarcasm detection subtask (Abu Farha et al., 2021).

UR - http://www.scopus.com/inward/record.url?scp=85113618969&partnerID=8YFLogxK

UR - https://aclanthology.org/

M3 - Conference contribution

AN - SCOPUS:85113618969

T3 - Workshop on Arabic Natural Language Processing (WANLP)

SP - 318

EP - 322

BT - Proceedings of the Sixth Arabic Natural Language Processing Workshop

A2 - Habash, Nizar

A2 - Bouamor, Houda

A2 - Hajj, Hazem

A2 - Magdy, Walid

A2 - Zaghouani, Wajdi

A2 - Bougares, Fethi

A2 - Tomeh, Nadi

A2 - Farha, Ibrahim Abu

A2 - Touileb, Samia

PB - Association for Computational Linguistics, ACL

T2 - 6th Arabic Natural Language Processing Workshop, WANLP 2021

Y2 - 19 April 2021 through 19 April 2021

ER -

Alharbi AI, Lee M. Multi-task learning using a combination of contextualised and static word embeddings for Arabic sarcasm detection and sentiment analysis. In Habash N, Bouamor H, Hajj H, Magdy W, Zaghouani W, Bougares F, Tomeh N, Farha IA, Touileb S, editors, Proceedings of the Sixth Arabic Natural Language Processing Workshop. Association for Computational Linguistics, ACL. 2021. p. 318-322. (Workshop on Arabic Natural Language Processing (WANLP)).

Multi-task learning using a combination of contextualised and static word embeddings for Arabic sarcasm detection and sentiment analysis

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

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Cite this