🧑‍🔬 Aditya Joshi — all works

28 works · ← Aditya Joshi

1. Harnessing Context Incongruity for Sarcasm DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Aditya Joshi, Vinita Sharma, Pushpak Bhattacharyya2015 · 417 citations
2. Automatic Sarcasm Detection: A SurveyarXiv:1602.03426Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman2016 · 216 citations
3. Are Word Embedding-based Features Useful for Sarcasm Detection?Conference on Empirical Methods in Natural Language Processing (EMNLP)Aditya Joshi, Vaibhav Tripathi, Kevin Patel, et al.2016 · 212 citations
4. Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasmWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisAnupam Khattri, Aditya Joshi, Pushpak Bhattacharyya, et al.2015 · 115 citations
5. Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series ‘Friends'Conference on Computational Natural Language Learning (CoNLL)Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.2016 · 87 citations
6. How Do Cultural Differences Impact the Quality of Sarcasm Annotation?: A Case Study of Indian Annotators and American TextSIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and HumanitiesAditya Joshi, Pushpak Bhattacharyya, Mark Carman, et al.2016 · 47 citations
7. “When Numbers Matter!”: Detecting Sarcasm in Numerical Portions of TextWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisAbhijeet Dubey, Lakshya Kumar, Arpan Somani, et al.2019 · 29 citations
8. Sarcasm Target Identification: Dataset and An Introductory ApproachLanguage Resources and Evaluation Conference (LREC)Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, et al.2018 · 16 citations
9. 34th Annual Meeting of the Association for Computational Linguistics ↗University of Groningen research database (University of Groningen / Centre for Information Technology) · no summary yetAditya Joshi, Martha Stone Palmer1996 · 15 citations
10. Evaluating Dialect Robustness of Language Models via Conversation UnderstandingWorkshop on Scaling Up Multilingual EvaluationDipankar Srirag, Nihar Ranjan Sahoo, Aditya Joshi2025 · 10 citations
11. How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English LiteratureAditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.English · 10 citations
12. Overview of the 2019 ALTA Shared Task: Sarcasm Target Identification ↗Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association · no summary yetDiego Molla, Aditya Joshi9 citations
13. BESSTIE: A Benchmark for Sentiment and Sarcasm Classification for Varieties of English ↗Findings of the Association for Computational Linguistics: ACL 2025 · no summary yetDipankar Srirag et al.2025 · 6 citations
14. IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in EnglishInternational Workshop on Semantic Evaluation (SemEval)Tanuj Shekhawat, Manoj Kumar, Udaybhan Rathore, et al.2022 · 6 citations
15. Automatic Identification of Sarcasm Target: An Introductory ApproacharXiv:1610.07091Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, et al.2016 · 6 citations
16. ‘Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm DetectionWorkshop on Extra-Propositional Aspects of Meaning in Computational LinguisticsAditya Joshi, Prayas Jain, Pushpak Bhattacharyya, et al.2016 · 5 citations
17. Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dipankar Srirag, Aditya Joshi, Jacob Eisenstein2025 · 4 citations
18. “Is Hate Lost in Translation?”: Evaluation of Multilingual LGBTQIA+ Hate Speech Detection ↗Proceedings of the 22nd Annual Workshop of the Australasian Language Technology Association · no summary yetFai Leui Chan, Duke Nguyen, Aditya Joshi2024 · 4 citations
19. Evaluating Customized vs. Generalist Transformer-based Models for Legal Contract ClassificationWorkshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or IndividualAmrita Singh, H. Suhan Karaca, Aditya Joshi, et al.2026 · 2 citations
20. Detecting Sarcasm Using Different Forms Of IncongruityAditya JoshiEnglish · 2 citations
21. Harnessing Test-time Adaptation for NLU tasks Involving Dialects of EnglisharXiv:2503.12858Duke Nguyen, Aditya Joshi, Flora Salim2025 · 1 citation
22. Computational SarcasmConference on Empirical Methods in Natural Language Processing (EMNLP)Pushpak Bhattacharyya, Aditya Joshi2017 · 1 citation
23. BARRAC: Adaptation of an English Aspect-based Sentiment Analysis Approach for Classification Tasks in Arabic DialectsarXiv:2609.38820Ali Almutairi, Gelareh Mohammadi, Imran Razzak, et al.2026
24. DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect AdaptationarXiv:2607.07669Jordan Painter, Dipankar Srirag, Adarsh Kappiyath, et al.2026
25. Far Out: Evaluating Language Models on Slang in Australian and Indian EnglishWorkshop on NLP for Similar Languages, Varieties and Dialects (VarDial)Deniz Kaya Dilsiz, Dipankar Srirag, Aditya Joshi2026
26. LangLingual: A Personalised, Exercise-oriented English Language Learning Tool Leveraging Large Language ModelsarXiv:2510.23011Sammriddh Gupta, Sonit Singh, Aditya Joshi, et al.2025
27. Nek Minit: Harnessing Pragmatic Metacognitive Prompting for Explainable Sarcasm Detection of Australian and Indian English ↗Proceedings of the 23rd Annual Workshop of the Australasian Language Technology Association · no summary yetIshmanbir Singh, Dipankar Srirag, Aditya Joshi2025
28. Experiences from Creating a Benchmark for Sentiment Classification for Varieties of EnglisharXiv:2410.11216Dipankar Srirag, Jordan Painter, Aditya Joshi, et al.2024

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