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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:

Affective and Contextual Embedding for Sarcasm Detection
Nastaran Babanejad, Heidar Davoudi, Aijun An, et al.
Proceedings of the 17th international conference on Computational linguistics - (2020)
Open Access | Times Cited: 84

Showing 51-75 of 84 citing articles:

NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep Learning
Mostafa Rahgouy, Hamed Babaei Giglou, Taher Rahgooy, et al.
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2022), pp. 862-870
Open Access | Times Cited: 3
GetSmartMSEC at SemEval-2022 Task 6: Sarcasm Detection using Contextual Word Embedding with Gaussian model for Irony Type Identification
Diksha Krishnan, Jerin Mahibha C, D. Thenmozhi
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2022), pp. 827-833
Open Access | Times Cited: 3
Sarcasm Detection in Twitter - Performance Impact While Using Data Augmentation: Word Embeddings
Alif Tri Handoyo, Hidayatur rahman, Criscentia Jessica Setiadi, et al.
International Journal of Fuzzy Logic and Intelligent Systems (2022) Vol. 22, Iss. 4, pp. 401-413
Open Access | Times Cited: 3
Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning
Gopendra Vikram Singh, Mauajama Firdaus, Dushyant Singh Chauhan, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 18981-18989
Open Access
Beyond Words: Contextual Sarcasm Detection in News Texts using Advanced Models
Anouska Abhisikta, Mansheel Agarwal, Pradeep Kumar Mallick, et al.
(2024), pp. 566-571
Closed Access
Enhancing Cross-Lingual Sarcasm Detection by a Prompt Learning Framework with Data Augmentation and Contrastive Learning
Tianbo An, Pingping Yan, Jiaai Zuo, et al.
Electronics (2024) Vol. 13, Iss. 11, pp. 2163-2163
Open Access
Sarcasm Detection with BiLSTM Multihead Attention
Harish K. Thakur, Jyoti Srivastava
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access
A Real-Time Framework for Automatic Sarcasm Detection Using Proposed Tensor-DNN-50 Algorithm
Jamuna S. Murthy, Siddesh Gaddadevara Matt
Lecture notes in networks and systems (2024), pp. 109-124
Closed Access
Sarcasm Detection in Political Speeches Using Recurrent Neural Networks
Mulaudzi Thikho, Sello N. Mokwena
Communications in computer and information science (2024), pp. 144-158
Closed Access
Deep Sarcasm Detection with Sememe and Syntax Knowledge
Zhiqiang Zhang, Jiajun Shan, Haiyan Wu, et al.
Lecture notes in computer science (2024), pp. 411-431
Closed Access
Dialogue agents 101: a beginner’s guide to critical ingredients for designing effective conversational systems
Shivani Kumar, Sumit Bhatia, Milan Aggarwal, et al.
Natural language processing. (2024), pp. 1-39
Open Access
Multi-modal sarcasm detection using ensemble net model
Vidyullatha Sukhavasi, Venkatesulu Dondeti
Knowledge and Information Systems (2024) Vol. 67, Iss. 1, pp. 403-425
Closed Access
Enhancing Sarcasm Detection Using Deep Learning
K. Rajasekhar, G. R. Sabareesh, C. H. Saila, et al.
Lecture notes in networks and systems (2024), pp. 137-150
Closed Access
Are LLMs capable of understanding sarcastic conversations? MuKX: architecture for understanding sarcasm
Paras Tiwari, A. K. Shrivastava, C. Ravindranath Chowdary
Research Square (Research Square) (2024)
Open Access
Leveraging Transformers for Robust Sarcasm Detection and Contextualunderstanding
Ramakrishna Bodige, Ramesh babu Akarapu, Pramod kumar Poladi
(2024)
Closed Access
A Pragmatic Study on Various Approaches Used for Sarcasm Detection
Anjana Mishra, Sukant Kishoro Bisoy, Kunal Kanti Howladar
(2024), pp. 1-5
Closed Access
Ensemble of Gated Recurrent Unit and Convolutional Neural Network for Sarcasm Detection in Bangla
Niloy Farhan, Ishrat Tasnim Awishi, Md Humaion Kabir Mehedi, et al.
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2023), pp. 0624-0629
Closed Access | Times Cited: 1
Evaluating Contextual Embeddings and their Extraction Layers for Depression Assessment
Matthew Matero, Albert M. Hung, H. Schwartz
(2022), pp. 89-94
Open Access | Times Cited: 2
¡Qué maravilla! Multimodal Sarcasm Detection in Spanish: a Dataset and a Baseline
Khalid Alnajjar, Mika Hämäläinen
(2021), pp. 63-68
Open Access | Times Cited: 2
Sarcasm and Implicitness in Abusive Language Detection: A Multilingual Perspective
Simona Frenda
(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
Context-Dependent Deep Learning for Affective Computing
Varsha Suresh
(2022), pp. 1-5
Closed Access | Times Cited: 1
Multi-Modal Sarcasm Detection with Prompt-Tuning
Daijun Ding, Hu Huang, Bowen Zhang, et al.
2021 5th Asian Conference on Artificial Intelligence Technology (ACAIT) (2022), pp. 1-8
Closed Access | Times Cited: 1
Detecting sarcastic expressions with deep neural networks
Zihang Huang
Applied and Computational Engineering (2023) Vol. 5, Iss. 1, pp. 62-68
Open Access
Comparison of Artificial Decision Techniques for Detection of Sarcastic News Headlines
Tarun Jain, Horesh Kumar, Payal Garg, et al.
International Journal of Cyber Behavior Psychology and Learning (2023) Vol. 13, Iss. 1, pp. 1-12
Open Access

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