--- title: "Pushpak Bhattacharyya — papers and cards" description: "Pushpak Bhattacharyya: 2 paper cards in the Research library (2016–2024), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/pushpak-bhattacharyya/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/pushpak-bhattacharyya/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Pushpak Bhattacharyya # Pushpak Bhattacharyya 2 paper cards in the Research library · 2016–2024 Pushpak Bhattacharyya wrote 2 of the papers Mova reads, in 2016–2024; often with [Aditya Joshi](https://md.research.elamur.ai/free/en/authors/aditya-joshi/), Jaya Saraswati, Mark Carman. [OpenAlex](https://openalex.org/A5065100828) · [ORCID](https://orcid.org/0000-0001-5319-5508) · [**h-index 51**](https://openalex.org/authors/A5065100828) · [13907 citations](https://openalex.org/authors/A5065100828) · [867 works](https://openalex.org/works?filter=author.id:A5065100828) — openalex-snapshot, 2026-10-14 The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Pushpak+Bhattacharyya) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Pushpak+Bhattacharyya) · [dblp](https://dblp.org/search?q=Pushpak+Bhattacharyya) · [ACL Anthology](https://aclanthology.org/search/?q=Pushpak+Bhattacharyya) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Pushpak+Bhattacharyya) ## Papers 1. **[PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities](https://md.research.elamur.ai/free/en/papers/sravanthi-2024-pub-pragmatics-understanding-benchmark-assessing/)** *(2024)* PUB gathers fourteen multiple-choice tasks over four phenomena. Ten are implicature tasks: direct vs indirect response, the meaning of an indirect answer with or without a hint (Circa and a new CircaPlus), GRICE dialogues, IMPPRES pairs, agreement vs sarcasm detection and figurative language with positive or… 2. **[How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature](https://md.research.elamur.ai/free/en/papers/joshi-2016-how-challenging-is-sarcasm-versus/)** *(2016)* The paper asks whether sarcasm (irony with a target of ridicule, so it changes sentiment towards that target) can be told from plain irony, using 4,306 quotes from literature with user tags (753 sarcasm, 677 irony, 2,876 philosophy). ## Co-authors (11) - [Aditya Joshi](https://md.research.elamur.ai/free/en/authors/aditya-joshi/) - Jaya Saraswati - Mark Carman - Meet Doshi - Meghna Singh - Pavan Tankala - Raj Dabre - Rajita Shukla - Rudra Murthy - Settaluri Sravanthi - Vaibhav Tripathi ## More papers in the library (15) Pages of the Research library: our summary, the ideas, references and who cites each. - [Assessing and Improving Punctuation Robustness in English-Marathi Machine Translation](https://md.research.elamur.ai/free/en/papers/shejole-2026-assessing-improving-punctuation-robustness-english/) — Kaustubh Shivshankar Shejole, Sourabh Deoghare, Pushpak Bhattacharyya · 2026 - [A Multimodal Corpus for Emotion Recognition in Sarcasm](https://md.research.elamur.ai/free/en/papers/ray-2022-multimodal-corpus-emotion-recognition-sarcasm/) — Anupama Ray, Shubham Mishra, Apoorva Nunna, et al. · 2022 - [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/) — Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal, et al. · 2020 - [Towards Emotion-aided Multi-modal Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/saha-2020-emotion-aided-multi-modal-dialogue/) — Tulika Saha, Aditya Patra, Sriparna Saha, et al. · 2020 - [“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/) — Abhijeet Dubey, Lakshya Kumar, Arpan Somani, et al. · 2019 - [Sarcasm Target Identification: Dataset and An Introductory Approach](https://md.research.elamur.ai/free/en/papers/joshi-2018-sarcasm-target-identification-dataset-introductory/) — Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, et al. · 2018 - [The IIT Bombay English-Hindi Parallel Corpus](https://md.research.elamur.ai/free/en/papers/kunchukuttan-2018-iit-bombay-english-hindi-parallel/) — Anoop Kunchukuttan, Pratik Mehta, Pushpak Bhattacharyya · 2018 - [Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network](https://md.research.elamur.ai/free/en/papers/mishra-2017-learning-cognitive-features-gaze-data/) — Abhijit Mishra, Kuntal Dey, Pushpak Bhattacharyya · 2017 - [Are Word Embedding-based Features Useful for Sarcasm Detection?](https://md.research.elamur.ai/free/en/papers/joshi-2016-are-word-embedding-based-features/) — Aditya Joshi, Vaibhav Tripathi, Kevin Patel, et al. · 2016 - [Automatic Sarcasm Detection: A Survey](https://md.research.elamur.ai/free/en/papers/joshi-2016-automatic-sarcasm-detection-survey/) — Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman · 2016 - [Harnessing Cognitive Features for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/mishra-2016-harnessing-cognitive-features-sarcasm-detection/) — Abhijit Mishra, Diptesh Kanojia, Seema Nagar, et al. · 2016 - [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/) — Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al. · 2016 - [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/) — Aditya Joshi, Pushpak Bhattacharyya, Mark Carman, et al. · 2016 - [Harnessing Context Incongruity for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/joshi-2015-harnessing-context-incongruity-sarcasm-detection/) — Aditya Joshi, Vinita Sharma, Pushpak Bhattacharyya · 2015 - [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/) — Anupam Khattri, Aditya Joshi, Pushpak Bhattacharyya, et al. · 2015