---
title: "Aditya Joshi — all works — Elamur Research"
description: "All 28 works of Aditya Joshi in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/aditya-joshi/works/"
---
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# Aditya Joshi — all works

28 works · [← Aditya Joshi](https://md.research.elamur.ai/free/en/authors/aditya-joshi/)

1. **[Harnessing Context Incongruity for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/joshi-2015-harnessing-context-incongruity-sarcasm-detection/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aditya Joshi, Vinita Sharma, Pushpak Bhattacharyya*2015 · 417 citations*
2. [**Automatic Sarcasm Detection: A Survey arXiv:1602.03426**Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman*2016 · 216 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-automatic-sarcasm-detection-survey/)
3. **[Are Word Embedding-based Features Useful for Sarcasm Detection?](https://md.research.elamur.ai/free/en/papers/joshi-2016-are-word-embedding-based-features/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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 sarcasm](https://md.research.elamur.ai/free/en/papers/khattri-2015-your-sentiment-precedes-you-author/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Anupam Khattri, Aditya Joshi, Pushpak Bhattacharyya, et al.*2015 · 115 citations*
5. **[Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series ‘Friends'](https://md.research.elamur.ai/free/en/papers/joshi-2016-harnessing-sequence-labeling-sarcasm-detection/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/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 Text](https://md.research.elamur.ai/free/en/papers/joshi-2016-how-do-cultural-differences-impact/) [SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities](https://md.research.elamur.ai/free/en/venues/sighum-workshop-on-language-technology-for-cultural-heritage-social-sciences-and/)**Aditya Joshi, Pushpak Bhattacharyya, Mark Carman, et al.*2016 · 47 citations*
7. **[“When Numbers Matter!”: Detecting Sarcasm in Numerical Portions of Text](https://md.research.elamur.ai/free/en/papers/dubey-2019-when-numbers-matter-detecting-sarcasm/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Abhijeet Dubey, Lakshya Kumar, Arpan Somani, et al.*2019 · 29 citations*
8. **[Sarcasm Target Identification: Dataset and An Introductory Approach](https://md.research.elamur.ai/free/en/papers/joshi-2018-sarcasm-target-identification-dataset-introductory/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, et al.*2018 · 16 citations*
9. **[34th Annual Meeting of the Association for Computational Linguistics ↗](https://openalex.org/W2576386513) University of Groningen research database (University of Groningen / Centre for Information Technology) · no summary yet**Aditya Joshi, Martha Stone Palmer*1996 · 15 citations*
10. **[Evaluating Dialect Robustness of Language Models via Conversation Understanding](https://md.research.elamur.ai/free/en/papers/srirag-2025-evaluating-dialect-robustness-language-models/) [Workshop on Scaling Up Multilingual Evaluation](https://md.research.elamur.ai/free/en/venues/sumeval/)**Dipankar Srirag, Nihar Ranjan Sahoo, Aditya Joshi*2025 · 10 citations*
11. [**How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature**Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.*English · 10 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-how-challenging-is-sarcasm-versus/)
12. **[Overview of the 2019 ALTA Shared Task: Sarcasm Target Identification ↗](https://aclanthology.org/U19-1026/) Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association · no summary yet**Diego Molla, Aditya Joshi*9 citations*
13. **[BESSTIE: A Benchmark for Sentiment and Sarcasm Classification for Varieties of English ↗](https://aclanthology.org/2025.findings-acl.441/) Findings of the Association for Computational Linguistics: ACL 2025 · no summary yet**Dipankar Srirag et al.*2025 · 6 citations*
14. **[IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English](https://md.research.elamur.ai/free/en/papers/shekhawat-2022-iiserb-brains-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Tanuj Shekhawat, Manoj Kumar, Udaybhan Rathore, et al.*2022 · 6 citations*
15. [**Automatic Identification of Sarcasm Target: An Introductory Approach arXiv:1610.07091**Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, et al.*2016 · 6 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-automatic-identification-sarcasm-target-introductory/)
16. **[‘Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/joshi-2016-who-would-have-thought-that/) [Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics](https://md.research.elamur.ai/free/en/venues/workshop-on-extra-propositional-aspects-of-meaning-in-computational-linguistics/)**Aditya 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 Models](https://md.research.elamur.ai/free/en/papers/srirag-2025-predicting-target-word-game-playing/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Dipankar Srirag, Aditya Joshi, Jacob Eisenstein*2025 · 4 citations*
18. **[“Is Hate Lost in Translation?”: Evaluation of Multilingual LGBTQIA+ Hate Speech Detection ↗](https://aclanthology.org/2024.alta-1.11/) Proceedings of the 22nd Annual Workshop of the Australasian Language Technology Association · no summary yet**Fai Leui Chan, Duke Nguyen, Aditya Joshi*2024 · 4 citations*
19. **[Evaluating Customized vs. Generalist Transformer-based Models for Legal Contract Classification](https://md.research.elamur.ai/free/en/papers/singh-2026-evaluating-customized-vs-generalist-transformer/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Amrita Singh, H. Suhan Karaca, Aditya Joshi, et al.*2026 · 2 citations*
20. [**Detecting Sarcasm Using Different Forms Of Incongruity**Aditya Joshi*English · 2 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2017-detecting-sarcasm-different-forms-incongruity/)
21. [**Harnessing Test-time Adaptation for NLU tasks Involving Dialects of English arXiv:2503.12858**Duke Nguyen, Aditya Joshi, Flora Salim*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/nguyen-2025-harnessing-test-time-adaptation-nlu/)
22. **[Computational Sarcasm](https://md.research.elamur.ai/free/en/papers/bhattacharyya-2017-computational-sarcasm/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Pushpak Bhattacharyya, Aditya Joshi*2017 · 1 citation*
23. [**BARRAC: Adaptation of an English Aspect-based Sentiment Analysis Approach for Classification Tasks in Arabic Dialects arXiv:2609.38820**Ali Almutairi, Gelareh Mohammadi, Imran Razzak, et al.*2026*](https://md.research.elamur.ai/free/en/papers/almutairi-2026-barrac-adaptation-english-aspect-based/)
24. [**DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation arXiv:2607.07669**Jordan Painter, Dipankar Srirag, Adarsh Kappiyath, et al.*2026*](https://md.research.elamur.ai/free/en/papers/painter-2026-diallm-investigation-robustness-generation-gap/)
25. **[Far Out: Evaluating Language Models on Slang in Australian and Indian English](https://md.research.elamur.ai/free/en/papers/dilsiz-2026-far-out-evaluating-language-models/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Deniz Kaya Dilsiz, Dipankar Srirag, Aditya Joshi*2026*
26. [**LangLingual: A Personalised, Exercise-oriented English Language Learning Tool Leveraging Large Language Models arXiv:2510.23011**Sammriddh Gupta, Sonit Singh, Aditya Joshi, et al.*2025*](https://md.research.elamur.ai/free/en/papers/gupta-2025-langlingual-personalised-exercise-oriented-english/)
27. **[Nek Minit: Harnessing Pragmatic Metacognitive Prompting for Explainable Sarcasm Detection of Australian and Indian English ↗](https://aclanthology.org/2025.alta-main.2/) Proceedings of the 23rd Annual Workshop of the Australasian Language Technology Association · no summary yet**Ishmanbir Singh, Dipankar Srirag, Aditya Joshi*2025*
28. [**Experiences from Creating a Benchmark for Sentiment Classification for Varieties of English arXiv:2410.11216**Dipankar Srirag, Jordan Painter, Aditya Joshi, et al.*2024*](https://md.research.elamur.ai/free/en/papers/srirag-2024-experiences-creating-benchmark-sentiment-classification/)