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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:

SemEval-2018 Task 3: Irony Detection in English Tweets
Cynthia Van Hee, Els Lefever, Véronique Hoste
(2018)
Open Access | Times Cited: 281

Showing 51-75 of 281 citing articles:

BERTweet: A pre-trained language model for English Tweets
Dat Quoc Nguyen, Thanh Vu, Anh Tuan Nguyen
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 31
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
Combining BERT with Static Word Embeddings for Categorizing Social Media
Israa Alghanmi, Luis Espinosa-Anke, Steven Schockaert
(2020), pp. 28-33
Open Access | Times Cited: 28
A knowledge-augmented neural network model for sarcasm detection
Yafeng Ren, Zilin Wang, Qiong Peng, et al.
Information Processing & Management (2023) Vol. 60, Iss. 6, pp. 103521-103521
Closed Access | Times Cited: 10
Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset
Haiyang Wang, Ye Wang, Xin Song, et al.
World Wide Web (2023) Vol. 26, Iss. 5, pp. 3607-3632
Closed Access | Times Cited: 9
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
A semantic approach for sarcasm identification for preventing fake news spreading on social networks
Fethi Fkih, Delel Rhouma, Hajar Abdulrahman Alghofaily
International Journal of Information Technology (2024)
Closed Access | Times Cited: 3
A survey on pragmatic processing techniques
Rui Mao, Mengshi Ge, Sooji Han, et al.
Information Fusion (2024), pp. 102712-102712
Closed Access | Times Cited: 3
Irony Detection in a Multilingual Context
Bilal Ghanem, Jihen Karoui, Farah Benamara, et al.
Lecture notes in computer science (2020), pp. 141-149
Open Access | Times Cited: 27
Analyzing Political Parody in Social Media
Antonios Maronikolakis, Danae Sánchez Villegas, Daniel Preoţiuc-Pietro, et al.
(2020), pp. 4373-4384
Open Access | Times Cited: 25
Figurative Language in Recognizing Textual Entailment
Tuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, et al.
(2021), pp. 3354-3361
Open Access | Times Cited: 23
Transformer-Based Word Embedding With CNN Model to Detect Sarcasm and Irony
Ravinder Ahuja, Sachin Sharma
Arabian Journal for Science and Engineering (2021) Vol. 47, Iss. 8, pp. 9379-9392
Closed Access | Times Cited: 23
Transformer-based models for multimodal irony detection
David Tomás, Reynier Ortega Bueno, Guobiao Zhang, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 6, pp. 7399-7410
Open Access | Times Cited: 15
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
Aaron Chan, Maziar Sanjabi, Lambert Mathias, et al.
(2022), pp. 51-67
Open Access | Times Cited: 14
Arabic Sentiment Analysis and Sarcasm Detection Using Probabilistic Projections-Based Variational Switch Transformer
Syed Muhammad Ahmed Hassan Shah, Syed Faizan Hussain Shah, Asad Ullah, et al.
IEEE Access (2023) Vol. 11, pp. 67865-67881
Open Access | Times Cited: 8
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning
Shachar Don-Yehiya, Elad Venezian, Colin Raffel, et al.
(2023), pp. 788-806
Open Access | Times Cited: 8
ELiRF-UPV at SemEval-2018 Tasks 1 and 3: Affect and Irony Detection in Tweets
José Ángel González, Lluís-F. Hurtado, Ferran Plà
(2018), pp. 565-569
Open Access | Times Cited: 26
NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter
Thanh Vu, Dat Quoc Nguyen, Xuan-Son Vu, et al.
(2018), pp. 525-530
Open Access | Times Cited: 25
NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets
Harsh Rangwani, Devang Kulshreshtha, Anil Kumar Singh
(2018)
Open Access | Times Cited: 24
“When Numbers Matter!”: Detecting Sarcasm in Numerical Portions of Text
Abhijeet Dubey, Lakshya Kumar, Arpan Somani, et al.
(2019)
Closed Access | Times Cited: 23
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection
Xu Guo, Boyang Li, Han Yu, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
Open Access | Times Cited: 19
Where to start? Analyzing the potential value of intermediate models
Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 1446-1470
Open Access | Times Cited: 7
Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis
Sohee Yang, Jonghyeon Kim, Joel Jang, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 664-680
Open Access | Times Cited: 2
A Robust Deep Ensemble Classifier for Figurative Language Detection
Rolandos-Alexandros Potamias, Georgios Siolas, Andreas Stafylopatis
Communications in computer and information science (2019), pp. 164-175
Closed Access | Times Cited: 22
An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models
Alexandra Chronopoulou, Christos Baziotis, Alexandros Potamianos
arXiv (Cornell University) (2019)
Closed Access | Times Cited: 20

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