---
title: "Who cites Santiago Castro — 88 papers of our library"
description: "88 papers of the Elamur Research library cite the works of Santiago Castro, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/santiago-castro/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/santiago-castro/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Santiago Castro](https://md.research.elamur.ai/free/en/authors/santiago-castro/) / cited by

# Who cites Santiago Castro

88 citations of their works from 88 papers of our library (of the 141,840 whose bibliographies we read) · 25 with a page here, the most cited first · [← Santiago Castro](https://md.research.elamur.ai/free/en/authors/santiago-castro/)

1. **[Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association](https://md.research.elamur.ai/free/en/papers/xu-2020-reasoning-multimodal-sarcastic-tweets-modeling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nan Xu, Zhixiong Zeng, Wenji Mao*2020 · 206 citations*
2. **[Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/pan-2020-modeling-intra-inter-modality-incongruity/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongliang Pan, Zheng Lin, Peng Fu, et al.*2020 · 181 citations*
3. **[Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis](https://md.research.elamur.ai/free/en/papers/chauhan-2020-sentiment-emotion-help-sarcasm-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal, et al.*2020 · 173 citations*
4. **[Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network](https://md.research.elamur.ai/free/en/papers/liang-2022-multi-modal-sarcasm-detection-cross/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bin Liang, Chenwei Lou, Xiang Li, et al.*2022 · 172 citations*
5. **[Affective and Contextual Embedding for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/babanejad-2020-affective-contextual-embedding-sarcasm-detection/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Nastaran Babanejad, Heidar Davoudi, Aijun An, et al.*2020 · 135 citations*
6. **[Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption Contest](https://md.research.elamur.ai/free/en/papers/hessel-2023-do-androids-laugh-electric-sheep/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jack Hessel, Ana Marasovic, Jena D. Hwang, et al.*2023 · 107 citations*
7. **[A Report on the 2020 Sarcasm Detection Shared Task](https://md.research.elamur.ai/free/en/papers/ghosh-2020-report-2020-sarcasm-detection-shared/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Debanjan Ghosh, Avijit Vajpayee, Smaranda Muresan*2020 · 92 citations*
8. **[Towards Emotion-aided Multi-modal Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/saha-2020-emotion-aided-multi-modal-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tulika Saha, Aditya Patra, Sriparna Saha, et al.*2020 · 79 citations*
9. [**Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text Data Proceedings of the First International Workshop on Natural Language Processing Beyond Text**Xinyu Wang, Xiaowen Sun, Tan Yang, et al.*2020 · 62 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-building-bridge-method-image-text/)
10. **[When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues](https://md.research.elamur.ai/free/en/papers/kumar-2022-when-did-you-become-so/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shivani Kumar, Atharva Kulkarni, Md Shad Akhtar, et al.*2022 · 51 citations*
11. **[Detecting Sarcasm in Conversation Context Using Transformer-Based Models](https://md.research.elamur.ai/free/en/papers/avvaru-2020-detecting-sarcasm-conversation-context-transformer/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Adithya Avvaru, Sanath Vobilisetty, Radhika Mamidi*2020 · 46 citations*
12. **[What Does Your Smile Mean? Jointly Detecting Multi-Modal Sarcasm and Sentiment Using Quantum Probability](https://md.research.elamur.ai/free/en/papers/liu-2021-what-does-your-smile-mean/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yaochen Liu, Yazhou Zhang, Qiuchi Li, et al.*2021 · 43 citations*
13. **[All-in-One: A Deep Attentive Multi-task Learning Framework for Humour, Sarcasm, Offensive, Motivation, and Sentiment on Memes](https://md.research.elamur.ai/free/en/papers/chauhan-2020-all-one-deep-attentive-multi/) [Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)](https://md.research.elamur.ai/free/en/venues/aacl/)**Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal, et al.*2020 · 38 citations*
14. **[A Multimodal Corpus for Emotion Recognition in Sarcasm](https://md.research.elamur.ai/free/en/papers/ray-2022-multimodal-corpus-emotion-recognition-sarcasm/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Anupama Ray, Shubham Mishra, Apoorva Nunna, et al.*2022 · 35 citations*
15. **[Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?](https://md.research.elamur.ai/free/en/papers/yao-2024-sarcasm-detection-step-step-reasoning/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Ben Yao, Yazhou Zhang, Qiuchi Li, et al.*2024 · 33 citations*
16. **[Multimodal Sarcasm Target Identification in Tweets](https://md.research.elamur.ai/free/en/papers/wang-2022-multimodal-sarcasm-target-identification-tweets/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiquan Wang, Lin Sun, Yi Liu, et al.*2022 · 28 citations*
17. **[Generalizable Sarcasm Detection is Just Around the Corner, of Course!](https://md.research.elamur.ai/free/en/papers/jang-2024-generalizable-sarcasm-detection-is-just/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Hyewon Jang, Diego Frassinelli*2024 · 22 citations*
18. [**A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives**Qingcheng Zeng, An-Ran Li*2022 · 14 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2022-survey-automatic-irony-processing-linguistic/)
19. [**Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity**Debanjan Ghosh, Elena Musi, Smaranda Muresan*2020 · 10 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2020-interpreting-verbal-irony-linguistic-strategies/)
20. **[Utilizing Weak Supervision to Create S3D: A Sarcasm Annotated Dataset](https://md.research.elamur.ai/free/en/papers/painter-2022-utilizing-weak-supervision-create-s3d/) [Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)](https://md.research.elamur.ai/free/en/venues/nlpcss/)**Jordan Painter, Helen Treharne, Diptesh Kanojia*2022 · 4 citations*
21. **[Me, myself, and ire: Effects of automatic transcription quality on emotion, sarcasm, and personality detection](https://md.research.elamur.ai/free/en/papers/culnan-2021-me-myself-ire-effects-automatic/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**John Culnan, Seongjin Park, Meghavarshini Krishnaswamy, et al.*2021 · 4 citations*
22. [**Parallel Deep Learning-Driven Sarcasm Detection from Pop Culture Text and English Humor Literature arXiv:2106.05752 · In RAAI 2020. Advances in Intelligent Systems and Computing, vol 1355 (2021)**Sourav Das, Anup Kumar Kolya*2020 · 4 citations*](https://md.research.elamur.ai/free/en/papers/das-2021-parallel-deep-learning-driven-sarcasm/)
23. **[R2D2 at SemEval-2022 Task 6: Are language models sarcastic enough? Finetuning pre-trained language models to identify sarcasm](https://md.research.elamur.ai/free/en/papers/sharma-2022-r2d2-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Mayukh Sharma, Ilanthenral Kandasamy, Vasantha W B*2022 · 2 citations*
24. [**Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques**Lang Xiong, Raina Gao, Alyssa Jeong*2025*](https://md.research.elamur.ai/free/en/papers/xiong-2025-sarc7-evaluating-sarcasm-detection-generation/)
25. [**Linguistic Features in Automatic Sarcasm Detection**Martina Ducret, Lauren Kruse, Carlos Martinez, et al.*2020*](https://md.research.elamur.ai/free/en/papers/ducret-2020-linguistic-features-automatic-sarcasm-detection/)

63 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/santiago-castro/) — Santiago Castro