🧑‍🔬 Pushpak Bhattacharyya — all works

69 works · ← Pushpak Bhattacharyya

1. Harnessing Context Incongruity for Sarcasm DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Aditya Joshi, Vinita Sharma, Pushpak Bhattacharyya2015 · 417 citations
2. Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetMd Shad Akhtar et al.2019 · 230 citations
3. Automatic Sarcasm Detection: A SurveyarXiv:1602.03426Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman2016 · 216 citations
4. 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
5. Contextual Inter-modal Attention for Multi-modal Sentiment Analysis ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetDeepanway Ghosal et al.2018 · 204 citations
6. The IIT Bombay English-Hindi Parallel CorpusLanguage Resources and Evaluation Conference (LREC)Anoop Kunchukuttan, Pratik Mehta, Pushpak Bhattacharyya2018 · 177 citations
7. Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal, et al.2020 · 173 citations
8. Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural NetworkAnnual Meeting of the Association for Computational Linguistics (ACL)Abhijit Mishra, Kuntal Dey, Pushpak Bhattacharyya2017 · 141 citations
9. A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetMd Shad Akhtar et al.2017 · 128 citations
10. 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
11. Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetDushyant Singh Chauhan et al.2019 · 105 citations
12. Simple Syntactic and Morphological Processing Can Help English-Hindi Statistical Machine Translation ↗Proceedings of the Third International Joint Conference on Natural Language Processing: Volume-I · no summary yetAnanthakrishnan Ramanathan et al.2008 · 101 citations
13. 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
14. Harnessing Cognitive Features for Sarcasm DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Abhijit Mishra, Diptesh Kanojia, Seema Nagar, et al.2016 · 85 citations
15. Towards Emotion-aided Multi-modal Dialogue Act ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Tulika Saha, Aditya Patra, Sriparna Saha, et al.2020 · 79 citations
16. MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations ↗Proceedings of the 28th International Conference on Computational Linguistics · no summary yetMauajama Firdaus et al.2020 · 77 citations
17. PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics CapabilitiesSettaluri Sravanthi, Meet Doshi, Pavan Tankala, et al.English · 75 citations
18. Leveraging Cognitive Features for Sentiment Analysis ↗Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning · no summary yetAbhijit Mishra et al.2016 · 74 citations
19. DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetTirthankar Ghosal et al.2019 · 72 citations
20. 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
21. Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in TwitterConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tulika Saha, Apoorva Upadhyaya, Sriparna Saha, et al.2021 · 43 citations
22. SlangNet: A WordNet like resource for English SlangLanguage Resources and Evaluation Conference (LREC)Shehzaad Dhuliawala, Diptesh Kanojia, Pushpak Bhattacharyya2016 · 41 citations
23. All-in-One: A Deep Attentive Multi-task Learning Framework for Humour, Sarcasm, Offensive, Motivation, and Sentiment on MemesConference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal, et al.2020 · 38 citations
24. A Multimodal Corpus for Emotion Recognition in SarcasmLanguage Resources and Evaluation Conference (LREC)Anupama Ray, Shubham Mishra, Apoorva Nunna, et al.2022 · 35 citations
25. Findings of the Quality Estimation Shared Task at WMT 2024: Are LLMs Closing the Gap in QE? ↗Proceedings of the Ninth Conference on Machine Translation · no summary yetChrysoula Zerva et al.2024 · 34 citations
26. Proceedings of the 3rd Workshop on Asian Translation (WAT2016) ↗no summary yetToshiaki Nakazawa et al.2016 · 32 citations
27. “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
28. LAYERED: Metric for Machine Translation Evaluation ↗Proceedings of the Ninth Workshop on Statistical Machine Translation · no summary yetShubham Gautam, Pushpak Bhattacharyya2014 · 24 citations
29. CEASE, a Corpus of Emotion Annotated Suicide notes in EnglishLanguage Resources and Evaluation Conference (LREC)Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya2020 · 23 citations
30. Looking inside Noun Compounds: Unsupervised Prepositional and Free Paraphrasing ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetGirishkumar Ponkiya et al.2020 · 21 citations
31. Predict and Use: Harnessing Predicted Gaze to Improve Multimodal Sarcasm DetectionConference on Empirical Methods in Natural Language Processing (EMNLP)Divyank Tiwari, Diptesh Kanojia, Anupama Ray, et al.2023 · 18 citations
32. Hindi generation from interlingua ↗Proceedings of Machine Translation Summit XI: Papers · no summary yetSmriti Singh et al.2007 · 17 citations
33. Sarcasm Target Identification: Dataset and An Introductory ApproachLanguage Resources and Evaluation Conference (LREC)Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, et al.2018 · 16 citations
34. Treat us like the sequences we are: Prepositional Paraphrasing of Noun Compounds using LSTM ↗Proceedings of the 27th International Conference on Computational Linguistics · no summary yetGirishkumar Ponkiya et al.2018 · 14 citations
35. Quality Estimation-Assisted Automatic Post-Editing ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetSourabh Deoghare et al.2023 · 12 citations
36. Automated Grammar Correction Using Hierarchical Phrase-Based Statistical Machine Translation ↗Proceedings of the Sixth International Joint Conference on Natural Language Processing · no summary yetBibek Behera, Pushpak Bhattacharyya2013 · 11 citations
37. 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
38. Hi-GEC: Hindi Grammar Error Correction in Low Resource ScenarioInternational Conference on Computational Linguistics (COLING)Ujjwal Sharma, Pushpak Bhattacharyya2025 · 9 citations
39. “A Little is Enough”: Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetAkshay Batheja, Pushpak Bhattacharyya2023 · 8 citations
40. Machine Translation Evaluation using Bi-directional Entailment ↗arXiv:1911.00681 · no summary yetRakesh Khobragade et al.2019 · 7 citations
41. Unsupervised Aspect-Level Sentiment Controllable Style Transfer ↗Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing · no summary yetMukuntha Narayanan Sundararaman et al.2020 · 6 citations
42. Automatic Identification of Sarcasm Target: An Introductory ApproacharXiv:1610.07091Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, et al.2016 · 6 citations
43. Can SMT and RBMT Improve each other's Performance?- An Experiment with English-Hindi Translation ↗Proceedings of the 13th International Conference on Natural Language Processing · no summary yetDebajyoty Banik et al.2016 · 6 citations
44. Giving the Old a Fresh Spin: Quality Estimation-Assisted Constrained Decoding for Automatic Post-Editing ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers) · no summary yetSourabh Deoghare, Diptesh Kanojia, Pushpak Bhattacharyya2025 · 5 citations
45. PoliSe: Reinforcing Politeness Using User Sentiment for Customer Care Response GenerationInternational Conference on Computational Linguistics (COLING)Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya2022 · 5 citations
46. Comparison of SMT and RBMT; The Requirement of Hybridization for Marathi-Hindi MT ↗arXiv:1703.03666 · no summary yetSreelekha. S, Pushpak Bhattacharyya2017 · 5 citations
47. ‘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
48. Sarcasm in Sight and Sound: Benchmarking and Expansion to Improve Multimodal Sarcasm DetectionarXiv:2310.01430Swapnil Bhosale, Abhra Chaudhuri, Alex Lee Robert Williams, et al.2023 · 4 citations
49. A Multi-task Learning Framework for Quality Estimation ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetSourabh Deoghare et al.2023 · 4 citations
50. Meta-Learning based Deferred Optimisation for Sentiment and Emotion aware Multi-modal Dialogue Act ClassificationConference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)Tulika Saha, Aditya Prakash Patra, Sriparna Saha, et al.2022 · 4 citations
51. Annotated Corpus of Tweets in English from Various Domains for Emotion DetectionInternational Conference on Natural Language Processing (ICON)Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya, et al.2020 · 4 citations
52. CFILT-CORE: Semantic Textual Similarity using Universal Networking Language ↗Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity · no summary yetAvishek Dan, Pushpak Bhattacharyya2013 · 3 citations
53. janardhan: Semantic Textual Similarity using Universal Networking Language graph matching ↗*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012) · no summary yetJanardhan Singh, Arindam Bhattacharya, Pushpak Bhattacharyya2012 · 3 citations
54. Evaluating Extremely Low-Resource Machine Translation: A Comparative Study of ChrF++ and BLEU Metrics ↗arXiv:2602.17425 · no summary yetSanjeev Kumar, Preethi Jyothi, Pushpak Bhattacharyya2026 · 2 citations
55. HalluDetect: Detecting, Mitigating, and Benchmarking Hallucinations in Conversational Systems in the Legal Domain ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track · no summary yetSpandan Anaokar et al.2025 · 2 citations
56. Understand the Implication: Learning to Think for Pragmatic Understanding ↗Findings of the Association for Computational Linguistics: ACL 2025 · no summary yetSettaluri Lakshmi Sravanthi et al.2025 · 2 citations
57. Semantic Extractor-Paraphraser based Abstractive Summarization ↗Proceedings of the 17th International Conference on Natural Language Processing (ICON) · no summary yetAnubhav Jangra et al.2020 · 2 citations
58. Computational SarcasmConference on Empirical Methods in Natural Language Processing (EMNLP)Pushpak Bhattacharyya, Aditya Joshi2017 · 1 citation
59. Post-editing a chapter of a specialized textbook into 7 languages: importance of terminological proximity with English for productivityInternational Conference on Natural Language Processing (ICON)Ritesh Shah, Christian Boitet, Pushpak Bhattacharyya, et al.2015 · 1 citation
60. Investigating the potential of post-ordering SMT output to improve translation quality ↗Proceedings of the 12th International Conference on Natural Language Processing · no summary yetPratik Mehta, Anoop Kunchukuttan, Pushpak Bhattacharyya2015 · 1 citation
61. Assessing and Improving Punctuation Robustness in English-Marathi Machine TranslationWorkshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)Kaustubh Shivshankar Shejole, Sourabh Deoghare, Pushpak Bhattacharyya2026
62. How effective are VLMs in assisting humans in inferring the quality of mental models from Multimodal short answers?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Pritam Sil, Durgaprasad Karnam, Vinay Reddy Venumuddala, et al.2026
63. Rethinking Research on Stereotypes: An Analysis through Social Psychological and Computational PerspectivesFindings of the Association for Computational LinguisticsKaustubh Shivshankar Shejole, Pushpak Bhattacharyya2026
64. IndicQE-APE: A Consolidated Benchmark for Quality Estimation and Automatic Post-Editing for Indic Languages ↗arXiv:2608.16344 · no summary yetDiptesh Kanojia et al.2026
65. Nyay-Darpan: Enhancing Decision Making Through Summarization and Case Retrieval for Consumer Law in India ↗Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025) · no summary yetSwapnil Bhattacharyya et al.2025
66. Comparing DAE-based and MASS-based UNMT: Robustness to Word-Order Divergence in English–\ensuremath>Indic Language PairsInternational Conference on Natural Language Processing (ICON)Tamali Banerjee, Rudra Murthy, Pushpak Bhattacharyya2023
67. APE-then-QE: Correcting then Filtering Pseudo Parallel Corpora for MT Training Data Creation ↗arXiv:2312.11312 · no summary yetAkshay Batheja et al.2023
68. Modelling Source- and Target- Language Syntactic Information as Conditional Context in Interactive Neural Machine Translation ↗Proceedings of the 22nd Annual Conference of the European Association for Machine Translation · no summary yetKamal Kumar Gupta et al.2020
69. Weak Translation Problems – a case study of Scriptural Translation ↗Actes de la 17e conférence sur le Traitement Automatique des Langues Naturelles. Articles courts · no summary yetMuhammad Ghulam Abbas Malik et al.2010

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