Abhijit Mishra

Detailed Archive

Publications

Book, conferences/journals, and workshops/demo papers.

B = Book C = Conferences / Journals W = Workshops / Demos

Book

  1. [B1] Abhijit Mishra and Pushpak Bhattacharyya. Cognitively Inspired Natural Language Processing, Springer, 2019.

Conferences and Journals

  1. [C30] Sravanthi et al. (2025). Understand the Implication. Findings of ACL 2025.
  2. [C29] Mishra et al. (2025). ReVision. AACL 2025.
  3. [C28] Mishra et al. (2025). Thought2Text. Findings of NAACL 2025.
  4. [C27] Maharaj et al. (2025). ETF: Entity Tracing Framework. ACL 2025.
  5. [C26] Li, Mishra, Mujumdar (2024). Bridging the Language Gap. IJCNN 2025.
  6. [C25] Mishra, Li, Deo (2023). SentinelLMs. AAAI 2024.
  7. [C24] Maharaj et al. (2023). Eyes Show the Way. EMNLP Findings 2023.
  8. [C23] Zhang et al. (2022). Can Open Domain QA Systems Answer Visual Knowledge Questions?
  9. [C22] Mishra et al. (2020). Template Controllable Keywords-to-Text Generation.
  10. [C21] Mathias et al. (2020). Happy Are Those Who Grade without Seeing. AACL-IJCNLP 2020.
  11. [C20] Mathias et al. (2020). Survey on Using Gaze Behaviour for NLP. IJCAI-PRICAI 2020.
  12. [C19] Mishra, Tater, Sankaranarayanan (2019). Unsupervised Sarcasm Generation. EMNLP 2019.
  13. [C18] Laha et al. (2019). Scalable Micro-planned Generation of Discourse. Computational Linguistics.
  14. [C17] Surya et al. (2019). Unsupervised Neural Text Simplification. ACL 2019.
  15. [C16] Jain et al. (2019). Unsupervised Controllable Text Formalization. AAAI 2019.
  16. [C15] Mathias et al. (2018). Predicting Text Quality Using Gaze Behaviour. ACL 2018.
  17. [C14] Munigala et al. (2018). PersuaAIDE. WWW 2018.
  18. [C13] Mishra et al. (2018). Cognition-Cognizant Sentiment Analysis. AAAI 2018.
  19. [C12] Tamilselvam et al. (2017). Graph Based Sentiment Aggregation. IJCNLP 2017.
  20. [C11] Garg et al. (2017). CVBed. IJCNLP 2017.
  21. [C10] Ross et al. (2017). Identifying Raga Similarity. ISMIR 2017.
  22. [C9] Mishra et al. (2017). Learning Cognitive Features from Gaze Data. ACL 2017.
  23. [C8] Mishra et al. (2017). Scanpath Complexity. AAAI 2017.
  24. [C7] Mishra et al. (2016). Harnessing Cognitive Features for Sarcasm Detection. ACL 2016.
  25. [C6] Mishra et al. (2016). Leveraging Cognitive Features for Sentiment Analysis. CoNLL 2016.
  26. [C5] Mishra et al. (2016). Predicting Readers' Sarcasm Understandability. AAAI 2016.
  27. [C4] Joshi et al. (2015). Automatic Prediction of Drunk-texting. ACL 2015.
  28. [C3] Joshi et al. (2014). Measuring Sentiment Annotation Complexity. ACL 2014.
  29. [C2] Kunchukuttan et al. (2014). Shata-Anuvadak. LREC 2014.
  30. [C1] Mishra, Bhattacharyya, Carl (2013). Automatically Predicting Sentence Translation Difficulty. ACL 2013.

Workshops and Demo Papers

  1. [W8] Jain et al. (2017). Story Generation from Sequence of Independent Short Descriptions. ML4Creativity, SIGKDD Workshop.
  2. [W7] Cheri, Mishra, Bhattacharyya (2016). Leveraging Annotators' Gaze Behaviour for Coreference Resolution. CogACLL 2016.
  3. [W6] Kanojia et al. (2015). TransChat: Cross-Lingual Instant Messaging for Indian Languages. ICON 2015.
  4. [W5] Mishra, Joshi, Bhattacharyya (2014). A Cognitive Study of Subjectivity Extraction in Sentiment Annotation. WASSA 2014.
  5. [W4] Kunchukuttan et al. (2014). IIT Bombay SMT System for ICON 2014 Tools Contest.
  6. [W3] Dungarwal et al. (2014). IIT Bombay Hindi-English Translation System at WMT 2014.
  7. [W2] Kunchukuttan et al. (2013). TransDoop. ACL 2013.
  8. [W1] Mishra, Carl, Bhattacharyya (2012). Systematic Error Correction of Gaze Data for Reading. Eye Tracking and NLP Workshop, COLING 2012.

For continuously updated records, visit Google Scholar.