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# Who cites «Sarcasm as Contrast between a Positive Sentiment and Negative Situation»

165 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/prag-2013-riloff-sarcasm-as-contrast-between-positive/)

Pages: **1** · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/prag-2013-riloff-sarcasm-as-contrast-between-positive-2/)

1. [A Transformer and Prototype-based Interpretable Model for Contextual Sarcasm Detection](https://aclanthology.org/2026.wassa-1.21/) *— 2026 · The Proceedings for the 15th Workshop on Computational Approaches to Subjectivity, Sentiment Social Media Analysis (WASSA 2026)*
2. [Understanding Conversational Implicatures in Humans and LLMs](https://aclanthology.org/2026.acl-srw.66/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
3. [Understanding Irony through Explanations and Background Knowledge](https://aclanthology.org/2026.cas-1.2/) *— 2026 · Proceedings of Computational Affective Science (CAS) @ LREC 2026*
4. [Class Distillation with Mahalanobis Contrast: An Efficient Training Paradigm for Pragmatic Language Understanding Tasks](https://aclanthology.org/2025.acl-long.1424/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
5. [Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning](https://aclanthology.org/2025.coling-main.608/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
6. [Historical Ink: Exploring Large Language Models for Irony Detection in 19th-Century Spanish](https://aclanthology.org/2025.nlp4dh-1.48/) *— 2025 · Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities*
7. [Irony Detection, Reasoning and Understanding in Zero-shot Learning](https://arxiv.org/abs/2501.16884) *— 2025 · arXiv:2501.16884*
8. [Nek Minit: Harnessing Pragmatic Metacognitive Prompting for Explainable Sarcasm Detection of Australian and Indian English](https://aclanthology.org/2025.alta-main.2/) *— 2025 · Proceedings of the 23rd Annual Workshop of the Australasian Language Technology Association*
9. [Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection](https://aclanthology.org/2025.findings-emnlp.1308/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
10. [Rhetorical Device-Aware Sarcasm Detection with Counterfactual Data Augmentation](https://aclanthology.org/2025.findings-acl.607/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
11. [Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques](https://md.mova.elamur.ai/free/en/docs/papers/xiong-2025-sarc7-evaluating-sarcasm-detection-generation/) *— our card · 2025 · Proceedings of the 9th Widening NLP Workshop*
12. [Breakthrough from Nuance and Inconsistency: Enhancing Multimodal Sarcasm Detection with Context-Aware Self-Attention Fusion and Word Weight Calculation.](https://aclanthology.org/2024.lrec-main.224/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
13. [CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models](https://aclanthology.org/2024.acl-long.522/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection](https://aclanthology.org/2024.emnlp-main.170/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
15. [Generalizable Sarcasm Detection is Just Around the Corner, of Course!](https://aclanthology.org/2024.naacl-long.238/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
16. [Human and System Perspectives on the Expression of Irony: An Analysis of Likelihood Labels and Rationales](https://aclanthology.org/2024.lrec-main.734/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
17. [KoCoSa: Korean Context-aware Sarcasm Detection Dataset](https://aclanthology.org/2024.lrec-main.864/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
18. [Leveraging Generative Large Language Models with Visual Instruction and Demonstration Retrieval for Multimodal Sarcasm Detection](https://aclanthology.org/2024.naacl-long.97/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
19. [SarcNet: A Multilingual Multimodal Sarcasm Detection Dataset](https://aclanthology.org/2024.lrec-main.1248/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
20. [Sarcasm Detection in a Disaster Context](https://aclanthology.org/2024.lrec-main.1247/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
21. [SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding](https://arxiv.org/abs/2408.11319) *— 2024 · arXiv:2408.11319*
22. [Was that Sarcasm?: A Literature Survey on Sarcasm Detection](https://arxiv.org/abs/2412.00425) *— 2024 · arXiv:2412.00425*
23. [When Do ``More Contexts'' Help with Sarcasm Recognition?](https://aclanthology.org/2024.lrec-main.1525/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
24. [Contrastive Learning of Sociopragmatic Meaning in Social Media](https://aclanthology.org/2023.findings-acl.152/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
25. [Dynamic Routing Transformer Network for Multimodal Sarcasm Detection](https://aclanthology.org/2023.acl-long.139/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
26. [Euphemistic Abuse – A New Dataset and Classification Experiments for Implicitly Abusive Language](https://aclanthology.org/2023.emnlp-main.1012/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
27. [Figurative Language Processing: A Linguistically Informed Feature Analysis of the Behavior of Language Models and Humans](https://aclanthology.org/2023.findings-acl.622/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
28. [Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction](https://aclanthology.org/2023.acl-long.566/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
29. [Personalized Intended and Perceived Sarcasm Detection on Twitter](https://aclanthology.org/2023.cpss-1.2/) *— 2023 · Proceedings of the 3rd Workshop on Computational Linguistics for the Political and Social Sciences*
30. [Prompt Tuning with Contradictory Intentions for Sarcasm Recognition](https://aclanthology.org/2023.eacl-main.25/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
31. [Sarcasm in Sight and Sound: Benchmarking and Expansion to Improve Multimodal Sarcasm Detection](https://arxiv.org/abs/2310.01430) *— 2023 · arXiv:2310.01430*
32. [The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 Languages](https://aclanthology.org/2023.emnlp-main.160/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
33. [``When Words Fail, Emojis Prevail'''': A Novel Architecture for Generating Sarcastic Sentences With Emoji Using Valence Reversal and Semantic Incongruity](https://aclanthology.org/2023.acl-srw.47/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
34. [A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict](https://aclanthology.org/2022.findings-naacl.126/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
35. [A Survey on Automated Sarcasm Detection on Twitter](https://arxiv.org/abs/2202.02516) *— 2022 · arXiv:2202.02516*
36. [AlexU-AL at SemEval-2022 Task 6: Detecting Sarcasm in Arabic Text Using Deep Learning Techniques](https://aclanthology.org/2022.semeval-1.125/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
37. [Amrita_CEN at SemEval-2022 Task 6: A Machine Learning Approach for Detecting Intended Sarcasm using Oversampling](https://aclanthology.org/2022.semeval-1.115/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
38. [Can Contextualizing User Embeddings Improve Sarcasm and Hate Speech Detection?](https://aclanthology.org/2022.nlpcss-1.14/) *— 2022 · Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)*
39. [Computational Sarcasm Analysis on Social Media: A Systematic Review](https://arxiv.org/abs/2209.06170) *— 2022 · arXiv:2209.06170*
40. [Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-Tuning](https://aclanthology.org/2022.wassa-1.14/) *— 2022 · Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis*
41. [Irony Detection for Dutch: a Venture into the Implicit](https://aclanthology.org/2022.wassa-1.16/) *— 2022 · Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis*
42. [Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network](https://aclanthology.org/2022.acl-long.124/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
43. [Multimodal Sarcasm Target Identification in Tweets](https://aclanthology.org/2022.acl-long.562/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep Learning](https://aclanthology.org/2022.semeval-1.120/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
45. [R2D2 at SemEval-2022 Task 6: Are language models sarcastic enough? Finetuning pre-trained language models to identify sarcasm](https://aclanthology.org/2022.semeval-1.143/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
46. [Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm Detection](https://aclanthology.org/2022.findings-emnlp.387/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
47. [SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic](https://md.mova.elamur.ai/free/en/docs/papers/farha-2022-semeval-2022-task-6-isarcasmeval/) *— our card · 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
48. [Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm Generation](https://aclanthology.org/2022.acl-long.530/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
49. [TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models](https://aclanthology.org/2022.semeval-1.118/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
50. [The Effect of Arabic Dialect Familiarity on Data Annotation](https://aclanthology.org/2022.wanlp-1.39/) *— 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)*
51. [UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection Using Generative-based and Mutation-based Data Augmentation](https://aclanthology.org/2022.semeval-1.135/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
52. [Utilizing Weak Supervision to Create S3D: A Sarcasm Annotated Dataset](https://aclanthology.org/2022.nlpcss-1.22/) *— 2022 · Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)*
53. [Chandler: An Explainable Sarcastic Response Generator](https://aclanthology.org/2021.emnlp-demo.38/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
54. [Does Commonsense help in detecting Sarcasm?](https://aclanthology.org/2021.insights-1.2/) *— 2021 · Proceedings of the Second Workshop on Insights from Negative Results in NLP*
55. [Enjeux liés à la détection de l'ironie (Challenges of automatic irony detection )](https://aclanthology.org/2021.jeptalnrecital-recital.5/) *— 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 2 : 23e REncontres jeunes Chercheurs en Informatique pour le TAL (RECITAL)*
56. [Explainable Detection of Sarcasm in Social Media](https://aclanthology.org/2021.wassa-1.4/) *— 2021 · Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
57. [Implicitly Abusive Language – What does it actually look like and why are we not getting there?](https://aclanthology.org/2021.naacl-main.48/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
58. [Perceived and Intended Sarcasm Detection with Graph Attention Networks](https://aclanthology.org/2021.wnut-1.12/) *— 2021 · Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)*
59. [Perceived and Intended Sarcasm Detection with Graph Attention Networks](https://aclanthology.org/2021.findings-emnlp.408/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
60. [``Laughing at you or with you'''': The Role of Sarcasm in Shaping the Disagreement Space](https://aclanthology.org/2021.eacl-main.171/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
61. [A Novel Hierarchical BERT Architecture for Sarcasm Detection](https://aclanthology.org/2020.figlang-1.14/) *— 2020 · Proceedings of the Second Workshop on Figurative Language Processing*
62. [A Report on the 2020 Sarcasm Detection Shared Task](https://aclanthology.org/2020.figlang-1.1/) *— 2020 · Proceedings of the Second Workshop on Figurative Language Processing*
63. [Affective Event Classification with Discourse-enhanced Self-training](https://aclanthology.org/2020.emnlp-main.452/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
64. [Affective and Contextual Embedding for Sarcasm Detection](https://aclanthology.org/2020.coling-main.20/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
65. [Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context](https://aclanthology.org/2020.figlang-1.2/) *— 2020 · Proceedings of the Second Workshop on Figurative Language Processing*
66. [Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text Data](https://aclanthology.org/2020.nlpbt-1.3/) *— 2020 · Proceedings of the First International Workshop on Natural Language Processing Beyond Text*
67. [C-Net: Contextual Network for Sarcasm Detection](https://aclanthology.org/2020.figlang-1.8/) *— 2020 · Proceedings of the Second Workshop on Figurative Language Processing*
68. [From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm Dataset](https://aclanthology.org/2020.osact-1.5/) *— 2020 · Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offensive Language Detection*
69. [Interpreting Verbal Irony: Linguistic Strategies and the Connection to theType of Semantic Incongruity](https://md.mova.elamur.ai/free/en/docs/papers/ghosh-2020-interpreting-verbal-irony-linguistic-strategies/) *— our card · 2020 · Proceedings of the Society for Computation in Linguistics 2020*
70. [Irony Detection in Persian Language: A Transfer Learning Approach Using Emoji Prediction](https://aclanthology.org/2020.lrec-1.346/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
71. [Linguistic Features in Automatic Sarcasm Detection](https://md.mova.elamur.ai/free/en/docs/papers/ducret-2020-linguistic-features-automatic-sarcasm-detection/) *— our card · 2020 · Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020)*
72. [Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection](https://aclanthology.org/2020.findings-emnlp.124/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
73. [Neural Sarcasm Detection using Conversation Context](https://aclanthology.org/2020.figlang-1.11/) *— 2020 · Proceedings of the Second Workshop on Figurative Language Processing*
74. [R\textasciicircum3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge](https://aclanthology.org/2020.acl-main.711/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
75. [Reactive Supervision: A New Method for Collecting Sarcasm Data](https://aclanthology.org/2020.emnlp-main.201/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
76. [Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association](https://aclanthology.org/2020.acl-main.349/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
77. [Sarcasm Detection Using an Ensemble Approach](https://aclanthology.org/2020.figlang-1.36/) *— 2020 · Proceedings of the Second Workshop on Figurative Language Processing*
78. [The Effect of Sociocultural Variables on Sarcasm Communication Online](https://arxiv.org/abs/2004.04945) *— 2020 · arXiv:2004.04945*
79. [iSarcasm: A Dataset of Intended Sarcasm](https://md.mova.elamur.ai/free/en/docs/papers/oprea-2020-isarcasm-dataset-intended-sarcasm/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
80. [A Modular Architecture for Unsupervised Sarcasm Generation](https://aclanthology.org/D19-1636/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
81. [A Transformer-based approach to Irony and Sarcasm detection](https://arxiv.org/abs/1911.10401) *— 2019 · arXiv:1911.10401*
82. [A deep-learning framework to detect sarcasm targets](https://aclanthology.org/D19-1663/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
83. [Exploring Author Context for Detecting Intended vs Perceived Sarcasm](https://aclanthology.org/P19-1275/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
84. [Is This an Effective Way to Annotate Irony Activators?](https://aclanthology.org/2019.clicit-1.17/) *— 2019 · Proceedings of the Sixth Italian Conference on Computational Linguistics (CLiC-it 2019)*
85. [Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model](https://aclanthology.org/P19-1239/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
86. [Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)](https://arxiv.org/abs/1906.01815) *— 2019 · arXiv:1906.01815*
87. [Wait Signals Predict Sarcasm in Online Debates](https://aclanthology.org/2019.dnd-10.2/) *— 2019*
88. [``When Numbers Matter!'''': Detecting Sarcasm in Numerical Portions of Text](https://aclanthology.org/W19-1309/) *— 2019 · Proceedings of the Tenth Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
89. [#SarcasmDetection is soooo general! Towards a Domain-Independent Approach for Detecting Sarcasm](https://arxiv.org/abs/1806.03369) *— 2018 · arXiv:1806.03369*
90. [A Large Self-Annotated Corpus for Sarcasm](https://aclanthology.org/L18-1102/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
91. [An Integrated Representation of Linguistic and Social Functions of Code-Switching](https://aclanthology.org/L18-1256/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
92. [Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification](https://aclanthology.org/D18-1381/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
93. [Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection](https://aclanthology.org/S18-1102/) *— 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation*
94. [CASCADE: Contextual Sarcasm Detection in Online Discussion Forums](https://aclanthology.org/C18-1156/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
95. [Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science](https://aclanthology.org/Q18-1041/) *— 2018*
96. [Deep contextualized word representations for detecting sarcasm and irony](https://aclanthology.org/W18-6202/) *— 2018 · Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
97. [Detecting Sarcasm is Extremely Easy ;-)](https://aclanthology.org/W18-1303/) *— 2018 · Proceedings of the Workshop on Computational Semantics beyond Events and Roles*
98. [INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter](https://aclanthology.org/S18-1097/) *— 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation*
99. [IronyMagnet at SemEval-2018 Task 3: A Siamese network for Irony detection in Social media](https://aclanthology.org/S18-1093/) *— 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation*
100. [Random Decision Syntax Trees at SemEval-2018 Task 3: LSTMs and Sentiment Scores for Irony Detection](https://aclanthology.org/S18-1091/) *— 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation*

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