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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony
Omid Rohanian, Shiva Taslimipoor, Richard Evans, et al.
(2018)
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

SemEval-2018 Task 3: Irony Detection in English Tweets
Cynthia Van Hee, Els Lefever, Véronique Hoste
(2018)
Open Access | Times Cited: 281
Transformer based contextualization of pre-trained word embeddings for irony detection in Twitter
José Ángel González, Lluís-F. Hurtado, Ferran Plà
Information Processing & Management (2020) Vol. 57, Iss. 4, pp. 102262-102262
Closed Access | Times Cited: 61
Fuzzy rough nearest neighbour methods for detecting emotions, hate speech and irony
Olha Kaminska, Chris Cornelis, Véronique Hoste
Information Sciences (2023) Vol. 625, pp. 521-535
Open Access | Times Cited: 13
A Multi-Dimension Question Answering Network for Sarcasm Detection
Yufeng Diao, Hongfei Lin, Liang Yang, et al.
IEEE Access (2020) Vol. 8, pp. 135152-135161
Open Access | Times Cited: 28
A Survey on Automatic Generation of Figurative Language: From Rule-based Systems to Large Language Models
Huiyuan Lai, Malvina Nissim
ACM Computing Surveys (2024) Vol. 56, Iss. 10, pp. 1-34
Open Access | Times Cited: 3
Effectiveness of data-driven induction of semantic spaces and traditional classifiers for sarcasm detection
Mattia Antonino Di Gangi, Giosué Lo Bosco, Giovanni Pilato
Natural Language Engineering (2019) Vol. 25, Iss. 2, pp. 257-285
Open Access | Times Cited: 17
Irony Detection for Dutch: a Venture into the Implicit
Aaron Maladry, Els Lefever, Cynthia Van Hee, et al.
(2022), pp. 172-181
Open Access | Times Cited: 9
The limitations of irony detection in Dutch social media
Aaron Maladry, Els Lefever, Cynthia Van Hee, et al.
Language Resources and Evaluation (2023) Vol. 58, Iss. 4, pp. 1355-1386
Open Access | Times Cited: 5
Multi-Task Bidirectional Transformer Representations for Irony Detection
Chiyu Zhang, Muhammad Abdul-Mageed
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 12
Textual emotion classification using MPNet and cascading broad learning
Lihong Cao, Rong Zeng, Sancheng Peng, et al.
Neural Networks (2024) Vol. 179, pp. 106582-106582
Closed Access | Times Cited: 1
Multi-Task Bidirectional Transformer Representations for Irony Detection
Chiyu Zhang, Muhammad Abdul-Mageed
arXiv (Cornell University) (2019)
Open Access | Times Cited: 10
Exploiting stacked embeddings with LSTM for multilingual humor and irony detection
Radiathun Tasnia, Nabila Ayman, Afrin Sultana, et al.
Social Network Analysis and Mining (2023) Vol. 13, Iss. 1
Closed Access | Times Cited: 3
A Neural Approach to Irony Generation
Mengdi Zhu, Zhiwei Yu, Xiaojun Wan
arXiv (Cornell University) (2019)
Open Access | Times Cited: 6
Irony Detection Using Transformers
Abhishek Agrawal, Abhishek Jha, Ashish Jaiswal, et al.
(2020)
Closed Access | Times Cited: 6
Ensemble-based domain adaptation on social media posts for irony detection
Anita Saroj, Sukomal Pal
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 23249-23268
Closed Access | Times Cited: 2
Generative Pre-trained Transformer (GPT) Models for Irony Detection and Classification
Mustafa Aytekin, O. Ayhan Erdem
(2023) Vol. 108, pp. 1-8
Closed Access | Times Cited: 2
Unparalleled sarcasm: a framework of parallel deep LSTMs with cross activation functions towards detection and generation of sarcastic statements
Sourav Das, Soumitra Ghosh, Anup Kumar Kolya, et al.
Language Resources and Evaluation (2022) Vol. 57, Iss. 2, pp. 765-802
Closed Access | Times Cited: 4
Towards Understanding Creative Language in Tweets
Linrui Zhang, Yisheng Zhou, Yang Yu, et al.
Journal of Software Engineering and Applications (2019) Vol. 12, Iss. 11, pp. 447-459
Open Access | Times Cited: 4
Cascading Broad Learning for Textual Emotion Classification
Sancheng Peng, Lihong Cao
Socio-affective computing (2024), pp. 47-64
Closed Access
Irony Detection in Bengali Tweets: A New Dataset, Experimentation and Results
Adhiraj Ghosh, Kamal Sarkar
IFIP advances in information and communication technology (2020), pp. 112-127
Open Access | Times Cited: 3
Harnessing Ensemble of Data Preprocessing and Hand-crafted Features for Irony Detection in Tweets
Fareen Tasneem, Jannatun Naim, Abu Nowshed Chy
(2020), pp. 1-6
Closed Access | Times Cited: 3
Multilingual Multi-Figurative Language Detection
Huiyuan Lai, Antonio Toral, Malvina Nissim
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 1
Contextualized Embedding based Approaches for Social Media-specific Sentiment Analysis
Harsh Sakhrani, Saloni Parekh, Pratik Ratadiya
2021 International Conference on Data Mining Workshops (ICDMW) (2021), pp. 186-193
Closed Access | Times Cited: 2
Unparalleled Sarcasm: A Framework of Parallel Deep LSTMs with Cross Activation Functions Towards Detection and Generation of Sarcastic Statements
Sourav Das, Soumitra Ghosh, Anup Kumar Kolya, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
The Limitations of Irony Detection in Dutch Social Media
Aaron Maladry, Els Lefever, Cynthia Van Hee, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
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