Resources
Following resources are freely available for research purposes only. If you use these resources, please cite the relevant papers.
Note: Previously published paper details are here.By downloading you agree to use the resources for research purpose only and cite the below paper.
Mamta, Zishan Ahmad, Asif Ekbal.
Elevating Code‑mixed Text Handling through Auditory Information of Words,
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), pp.15918–15932.
@inproceedings{mamta2023_elevating_code_mixed_phonetics,
title = {Elevating Code-mixed Text Handling through Auditory Information of Words},
author = {Mamta and Zishan Ahmad and Asif Ekbal},
booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing},
pages = {15918--15932},
year = {2023},
url = {https://aclanthology.org/2023.emnlp-main.987/},
pdf = {https://aclanthology.org/2023.emnlp-main.987.pdf},
doi = {10.18653/v1/2023.emnlp-main.987}
}
By downloading you agree to use the resources for research purpose only and cite the below paper.
Aizan Zafar, Kshitij Mishra, Asif Ekbal.
MedEx: Enhancing Medical Question‑Answering with First‑Order Logic based Reasoning and Knowledge Injection,
Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025), pp.9701–9720.
@inproceedings{zafar2025_medex,
title = {MedEx: Enhancing Medical Question‑Answering with First‑Order Logic based Reasoning and Knowledge Injection},
author = {Aizan Zafar and Kshitij Mishra and Asif Ekbal},
booktitle = {Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025)},
pages = {9701--9720},
year = {2025},
url = {https://aclanthology.org/2025.coling-main.649/},
pdf = {https://aclanthology.org/2025.coling-main.649.pdf}
}
By downloading you agree to use the resources for research purpose only and cite the below paper.
Mamta Mamta, Rishikant Chigrupaatii, Asif Ekbal.
BiasWipe: Mitigating Unintended Bias in Text Classifiers through Model Interpretability,
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), pp. 21059–21070.
@inproceedings{mamta2024_biaswipe,
title = {BiasWipe: Mitigating Unintended Bias in Text Classifiers through Model Interpretability},
author = {Mamta Mamta and Rishikant Chigrupaatii and Asif Ekbal},
booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
pages = {21059--21070},
year = {2024},
url = {https://aclanthology.org/2024.emnlp-main.1172/},
pdf = {https://aclanthology.org/2024.emnlp-main.1172.pdf}
}
By downloading you agree to use the resources for research purpose only and cite the below paper.
Divya Kumari, Asif Ekbal.
Enhancing sentiment and emotion translation of review text through MLM knowledge integration in NMT,
Journal of Intelligent Information Systems (JIIS), vol.62, issue5, pp.1213–1237, 2024.
@article{kumari2024_enhancing_sentiment_emotion_translation,
title = {Enhancing sentiment and emotion translation of review text through MLM knowledge integration in NMT},
author = {Divya Kumar and Asif Ekbal},
journal = {Journal of Intelligent Information Systems},
volume = {62},
number = {5},
pages = {1213--1237},
year = {2024},
doi = {10.1007/s10844-024-00843-2},
url = {https://doi.org/10.1007/s10844-024-00843-2}
}
By downloading you agree to use the resources for research purpose only and cite the below paper.
Gitanjali Kumari, Dibyanayan Bandyopadhyay, Asif Ekbal, Vinutha B.N. NarayanaMurthy.
CM‑Off‑Meme: Code‑Mixed Hindi-English Offensive Meme Detection with Multi‑Task Learning by Leveraging Contextual Knowledge,
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC‑COLING 2024), pp. 3380–3393.
@inproceedings{kumari2024_cmoffmeme,
title = {CM-Off-Meme: Code-Mixed Hindi-English Offensive Meme Detection with Multi-Task Learning by Leveraging Contextual Knowledge},
author = {Gitanjali Kumari and Dibyanayan Bandyopadhyay and Asif Ekbal and Vinutha B. N. NarayanaMurthy},
booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
pages = {3380--3393},
year = {2024},
url = {https://aclanthology.org/2024.lrec-main.300/},
pdf = {https://aclanthology.org/2024.lrec-main.300.pdf}
}
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Aizan Zafar, Kshitij Mishra, Asif Ekbal.
MedLogic‑AQA: Enhancing Medical Question Answering with Abstractive Models Focusing on Logical Structures,
Findings of the Association for Computational Linguistics: EMNLP 2024, pp.16844–16867.
@inproceedings{zafar2024_medlogic_aqa,
title = {MedLogic‑AQA: Enhancing Medical Question Answering with Abstractive Models Focusing on Logical Structures},
author = {Aizan Zafar and Kshitij Mishra and Asif Ekbal},
booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2024},
pages = {16844--16867},
year = {2024},
url = {https://aclanthology.org/2024.findings-emnlp.981/},
pdf = {https://aclanthology.org/2024.findings-emnlp.981.pdf},
doi = {10.18653/v1/2024.findings-emnlp.981}
}
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Komal Gupta, Tirthankar Ghosal.
Infusing factual knowledge into pre‑trained model for finding the contributions from the research articles,
Journal of Information Science, 2024.
@article{gupta2024_infusing_contributions,
title = {Infusing factual knowledge into pre‑trained model for finding the contributions from the research articles},
author = {Komal Gupta and Tirthankar Ghosal},
journal = {Journal of Information Science},
year = {2024},
doi = {10.1177/01655515231211436},
url = {https://doi.org/10.1177/01655515231211436}
}
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Mamta, Asif Ekbal.
Atmosphere kamaal ka tha (Was Wonderful): A Multilingual Joint Learning Framework for Aspect Category Detection and Sentiment Classification,
IEEE Transactions on Computational Social Systems, vol.11, no.5, pp.5892–5902, 2024.
@article{mamta2024_atmosphere,
title = {Atmosphere kamaal ka tha (Was Wonderful): A Multilingual Joint Learning Framework for Aspect Category Detection and Sentiment Classification},
author = {Mamta and Asif Ekbal},
journal = {IEEE Transactions on Computational Social Systems},
volume = {11},
number = {5},
pages = {5892--5902},
year = {2024},
url = {https://ieeexplore.ieee.org/document/10483106/}
}
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Gitanjali Kumari, Chandranath Adak, Asif Ekbal.
Mu2STS: A Multitask Multimodal Sarcasm‑Humor‑Differential Teacher‑Student Model for Sarcastic Meme Detection,
Proceedings of the European Conference on Information Retrieval (ECIR 2024), Lecture Notes in Computer Science, Vol. 4610, pp. 19–37.
@inproceedings{kumari2024_mu2sts,
title = {Mu2STS: A Multitask Multimodal Sarcasm‑Humor‑Differential Teacher‑Student Model for Sarcastic Meme Detection},
author = {Gitanjali Kumari and Chandranath Adak and Asif Ekbal},
booktitle = {Advances in Information Retrieval - 46th European Conference on Information Retrieval (ECIR 2024), Lecture Notes in Computer Science, Volume 14610},
pages = {19--37},
year = {2024},
url = {https://opus.lib.uts.edu.au/handle/10453/180762},
note = {Dataset and code available at https://www.iitp.ac.in/~ai-nlp-ml/resources.html}
}
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Deeksha Varshney, Aizan Zafar, Niranshu Behera, Asif Ekbal.
CDialog: A Multi‑turn Covid-19 Conversation Dataset for Entity‑Aware Dialog Generation,
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), pp. 11373–11385.
@inproceedings{varshney2022_cdialog,
title = {CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity‑Aware Dialog Generation},
author = {Deeksha Varshney and Aizan Zafar and Niranshu Behera and Asif Ekbal},
booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing},
pages = {11373--11385},
year = {2022},
url = {https://aclanthology.org/2022.emnlp-main.782/},
pdf = {https://aclanthology.org/2022.emnlp-main.782.pdf}
}
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Kamal Kumar Gupta, Divya Kumari, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal.
ReviewMT: Sentiment Preserved E‑Commerce Review Translation System,
Proceedings of the 5th Joint International Conference on Data Science & Management of Data (COMAD/CODS 2022), pp. 275–279.
@inproceedings{gupta2022_reviewmt,
title = {ReviewMT: Sentiment Preserved E‑Commerce Review Translation System},
author = {Kamal Kumar Gupta and Divya Kumari and Soumya Chennabasavaraj and Nikesh Garera and Asif Ekbal},
booktitle = {Proceedings of the 5th Joint International Conference on Data Science & Management of Data (COMAD/CODS 2022)},
pages = {275--279},
year = {2022},
doi = {10.1145/3493700.3493740},
url = {https://dl.acm.org/doi/10.1145/3493700.3493740}
}
By downloading you agree to use the resources for research purpose only and cite the below paper.
Komal Gupta, Tirthankar Ghosal, Asif Ekbal.
A Neuro-Symbolic Approach for Question Answering on Research Articles,
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation (PACLIC 2021), pp. 40–49.
@inproceedings{gupta2021_neurosymbolic_qa,
title = {A Neuro-Symbolic Approach for Question Answering on Research Articles},
author = {Komal Gupta and Tirthankar Ghosal and Asif Ekbal},
booktitle = {Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation (PACLIC 2021)},
pages = {40--49},
year = {2021},
url = {https://aclanthology.org/2021.paclic-1.5/},
pdf = {https://aclanthology.org/2021.paclic-1.5.pdf}
}
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Mamta, Asif Ekbal.
Quality achhi hai (is good), satisfied! Towards aspect based sentiment analysis in code-mixed language,
Computer Speech & Language (CSL), Vol. 89 (2025), Article 101668.
@article{mamta2025_qualityachhihai,
title = {Quality achhi hai (is good), satisfied! Towards aspect based sentiment analysis in code-mixed language},
author = {Mamta and Asif Ekbal},
journal = {Computer Speech & Language},
volume = {89},
pages = {101668},
year = {2025},
doi = {10.1016/j.csl.2024.101668},
url = {https://doi.org/10.1016/j.csl.2024.101668}
}
By downloading you agree to use the resources for research purpose only and cite the below paper.
Gitanjali Kumari, Anubhav Sinha, Asif Ekbal.
Unintended Bias Detection and Mitigation in Misogynous Memes,
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), Volume 1: Long Papers, pp. 2719–2733.
@inproceedings{kumari2024_unintendedbias,
title = {Unintended Bias Detection and Mitigation in Misogynous Memes},
author = {Gitanjali Kumari and Anubhav Sinha and Asif Ekbal},
booktitle = {Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), Volume 1: Long Papers},
pages = {2719--2733},
year = {2024},
doi = {10.18653/v1/2024.eacl-long.166},
url = {https://aclanthology.org/2024.eacl-long.166/}
}
By downloading you agree to use the resources for research purpose only and cite the below paper.
Aizan Zafar, Sovan Kumar Sahoo, Harsh Bhardawaj, Amitava Das, Asif Ekbal.
KI-MAG: A knowledge-infused abstractive question answering system in medical domain,
Neurocomputing (2024), Article 127141.
@article{zafar2024_kimag,
title = {KI-MAG: A knowledge-infused abstractive question answering system in medical domain},
author = {Aizan Zafar and Sovan Kumar Sahoo and Harsh Bhardawaj and Amitava Das and Asif Ekbal},
journal = {Neurocomputing},
pages = {127141},
year = {2024},
doi = {10.1016/j.neucom.2023.127141},
url = {https://doi.org/10.1016/j.neucom.2023.127141}
}
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Komal Gupta, Ammaar Ahmad, Tirthankar Ghosal, Asif Ekbal.
SciND: a new triplet-based dataset for scientific novelty detection via knowledge graphs,
International Journal on Digital Libraries (IJDL), Vol. 25, Issue 4, 2024, pp. 639–659.
@article{gupta2024_scind,
title = {SciND: a new triplet-based dataset for scientific novelty detection via knowledge graphs},
author = {Komal Gupta and Ammaar Ahmad and Tirthankar Ghosal and Asif Ekbal},
journal = {International Journal on Digital Libraries},
volume = {25},
number = {4},
pages = {639--659},
year = {2024},
doi = {10.1007/s00799-023-00386-x},
url = {https://doi.org/10.1007/s00799-023-00386-x}
}
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Mamta, Asif Ekbal.
Service Is Good, Very Good or Excellent? Towards Aspect Based Sentiment Intensity Analysis,
European Conference on Information Retrieval (ECIR 2023), pp. 685–700.
@inproceedings{mamta2023_aspectintensity,
title = {Service Is Good, Very Good or Excellent? Towards Aspect Based Sentiment Intensity Analysis},
author = {Mamta and Asif Ekbal},
booktitle = {Proceedings of the European Conference on Information Retrieval (ECIR 2023)},
pages = {685--700},
year = {2023},
url = {https://openreview.net/forum?id=9MLSkdSguL}
}
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Gitanjali Kumari, Kirtan Jain, Asif Ekbal.
M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought,
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), pp. 22105–22138.
@inproceedings{kumari2024_m3hopcot,
title = {M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought},
author = {Gitanjali Kumari and Kirtan Jain and Asif Ekbal},
booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024)},
pages = {22105--22138},
year = {2024},
doi = {10.18653/v1/2024.emnlp-main.1234},
url = {https://aclanthology.org/2024.emnlp-main.1234/}
}
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Gitanjali Kumari, Pranali Shinde, Asif Ekbal.
The Persuasive Memescape: Understanding Effectiveness and Societal Implications of Internet Memes,
IJCNLP-AACL 2023 (Proceedings of the 13th International Joint Conference on Natural Language Processing & 3rd AACL), Vol. 1: Long Papers, pp. 946–959.
@inproceedings{kumari2023_persuasiveMemescape,
title = {The Persuasive Memescape: Understanding Effectiveness and Societal Implications of Internet Memes},
author = {Gitanjali Kumari and Pranali Shinde and Asif Ekbal},
booktitle = {Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2023), Volume 1: Long Papers},
pages = {946--959},
year = {2023},
doi = {10.18653/v1/2023.ijcnlp-main.61},
url = {https://aclanthology.org/2023.ijcnlp-main.61/}
}
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Aizan Zafar, Sovan Kumar Sahoo, Deeksha Varshney, Amitava Das, Asif Ekbal.
KIMedQA: towards building knowledge-enhanced medical QA models,
Journal of Intelligent Information Systems (JIIS), 2024, Vol. 62, Issue 3, pp. 833–858.
@article{zafar2024_kimedqa,
title = {KIMedQA: towards building knowledge-enhanced medical QA models},
author = {Aizan Zafar and Sovan Kumar Sahoo and Deeksha Varshney and Amitava Das and Asif Ekbal},
journal = {Journal of Intelligent Information Systems},
volume = {62},
number = {3},
pages = {833--858},
year = {2024},
doi = {10.1007/s10844-024-00844-1},
url = {https://doi.org/10.1007/s10844-024-00844-1}
}
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Divya Kumari, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal.
Sentiment Preservation in Review Translation using Curriculum-based Re-inforcement Framework,
Proceedings of Machine Translation Summit XVIII (MT Summit 2021), Research Track, pp. 150–162.
@inproceedings{kumari2021_sentimentpreservation,
title = {Sentiment Preservation in Review Translation using Curriculum-based Re-inforcement Framework},
author = {Divya Kumari and Soumya Chennabasavaraj and Nikesh Garera and Asif Ekbal},
booktitle = {Proceedings of the 18th Biennial Machine Translation Summit (MT Summit 2021), Research Track},
pages = {150--162},
year = {2021},
url = {https://aclanthology.org/2021.mtsummit-research.13/}
}
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Komal Gupta, Ammaar Ahmad, Tirthankar Ghosal, Asif Ekbal.
A BERT-based sequential deep neural architecture to identify contribution statements and extract phrases for triplets from scientific publications,
International Journal on Digital Libraries, Vol. 25, Issue 4, 2024, pp. 1–28.
@article{gupta2024_bert_triplet_extraction,
title = {A BERT-based sequential deep neural architecture to identify contribution statements and extract phrases for triplets from scientific publications},
author = {Komal Gupta and Ammaar Ahmad and Tirthankar Ghosal and Asif Ekbal},
journal = {International Journal on Digital Libraries},
volume = {25},
number = {4},
pages = {1--28},
year = {2024},
doi = {10.1007/s00799-023-00393-y},
url = {https://doi.org/10.1007/s00799-023-00393-y}
}
By downloading you agree to use the resources for research purpose only and cite the below paper.
Mamta, Asif Ekbal.
Transformer based multilingual joint learning framework for code-mixed and English sentiment analysis,
Journal of Intelligent Information Systems (JIIS), Vol. 62, Issue 1, 2024, pp. 231–253.
@article{mamta2024_jointcodeMixedSentiment,
title = {Transformer based multilingual joint learning framework for code-mixed and English sentiment analysis},
author = {Mamta and Asif Ekbal},
journal = {Journal of Intelligent Information Systems},
volume = {62},
number = {1},
pages = {231--253},
year = {2024},
doi = {},
url = {}
}
By downloading you agree to use the resources for research purpose only and cite the below paper.
Gitanjali Kumari, Anubhav Sinha, Asif Ekbal.
Unintended Bias Detection and Mitigation in Misogynous Memes,
In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), Volume 1: Long Papers, pp. 2719–2733.
@inproceedings{kumari2024_unintendedbias,
title = {Unintended Bias Detection and Mitigation in Misogynous Memes},
author = {Gitanjali Kumari and Anubhav Sinha and Asif Ekbal},
booktitle = {Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), Volume 1: Long Papers},
pages = {2719--2733},
year = {2024},
doi = {10.18653/v1/2024.eacl-long.166},
url = {https://aclanthology.org/2024.eacl-long.166/}
}
By downloading you agree to use the resources for research purpose only and cite the below paper.
Gitanjali Kumari, Dibyanayan Bandyopadhyay, Asif Ekbal.
EmoffMeme: identifying offensive memes by leveraging underlying emotions,
Multimedia Tools and Applications, 2023, Vol. 82 (Issue 29), pp. 45061–45096.
@article{kumari2023_emoffmeme,
title = {EmoffMeme: identifying offensive memes by leveraging underlying emotions},
author = {Gitanjali Kumari and Dibyanayan Bandyopadhyay and Asif Ekbal},
journal = {Multimedia Tools and Applications},
volume = {82},
number = {29},
pages = {45061--45096},
year = {2023},
doi = {10.1007/s11042-023-14807-1},
url = {https://doi.org/10.1007/s11042-023-14807-1}
}
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Aizan Zafar, Deeksha Varshney, Sovan Kumar Sahoo, Amitava Das, Asif Ekbal.
Are my answers medically accurate? Exploiting medical knowledge graphs for medical question answering,
Applied Intelligence, 2024, Vol. 54 (Issue 2), pp. 2172–2187.
@article{zafar2024_medicalqa,
title = {Are my answers medically accurate? Exploiting medical knowledge graphs for medical question answering},
author = {Aizan Zafar and Deeksha Varshney and Sovan Kumar Sahoo and Amitava Das and Asif Ekbal},
journal = {Applied Intelligence},
volume = {54},
number = {2},
pages = {2172--2187},
year = {2024},
doi = {10.1007/s10489-024-05282-8},
url = {https://doi.org/10.1007/s10489-024-05282-8}
}
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Divya Kumari, Asif Ekbal, Rejwanul Haque, Pushpak Bhattacharyya, Andy Way.
Reinforced NMT for Sentiment and Content Preservation in Low-resource Scenario,
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP),
Vol. 20, No. 4, Article 70, pp. 1–27, 2021.
@article{kumar2021reinforced,
title = {Reinforced NMT for Sentiment and Content Preservation in Low-resource Scenario},
author = {Divya Kumari and Asif Ekbal and Rejwanul Haque and Pushpak Bhattacharyya and Andy Way},
journal = {ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)},
volume = {20},
number = {4},
pages = {70:1--70:27},
year = {2021},
doi = {10.1145/3450970},
url = {https://doi.org/10.1145/3450970}
}
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Komal Gupta, Ammaar Ahmad, Tirthankar Ghosal, Asif Ekbal.
ContriSci: A BERT-based Multitasking Deep Neural Architecture to Identify Contribution Statements from Research Papers,
Towards Open and Trustworthy Digital Societies: 23rd International Conference on Asia-Pacific Digital Libraries, ICADL 2021, Virtual Event, December 1–3, 2021, Proceedings 23
@inproceedings{gupta2021contrisci,
title = {ContriSci: A BERT-based Multitasking Deep Neural Architecture to Identify Contribution Statements from Research Papers},
author = {Komal Gupta and Ammaar Ahmad and Tirthankar Ghosal and Asif Ekbal},
booktitle = {Towards Open and Trustworthy Digital Societies -- 23rd International Conference on Asia-Pacific Digital Libraries (ICADL 2021), Lecture Notes in Computer Science, vol. 13133},
pages = {436--452},
year = {2021},
publisher = {Springer},
doi = {10.1007/978-3-030-91669-5\_34},
url = {https://doi.org/10.1007/978-3-030-91669-5_34}
}
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Mamta, Asif Ekbal.
Adversarial Sample Generation for Aspect based Sentiment Classification,
AACL findings
@inproceedings{mamta2022adversarial,
title = {Adversarial Sample Generation for Aspect based Sentiment Classification},
author = {Mamta and Asif Ekbal},
booktitle = {Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022},
pages = {478--492},
month = nov,
year = {2022},
address = {Online only},
publisher = {Association for Computational Linguistics},
url = {https://aclanthology.org/2022.findings-aacl.44/},
doi = {10.18653/v1/2022.findings-aacl.44}
}
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Arpan Phukan, Anupam Pandey, Deepjyoti Bodo, Asif Ekbal.
VideoChain: A Transformer-Based Framework for Multi-hop Video Question Generation, IJCNLP-AACL 2025 (Main).
@inproceedings{
anonymous2025videochain,
title={VideoChain: A Transformer-Based Framework for Multi-hop Video Question Generation},
author={Phukan, Arpan and Pandey, Anupam and Bodo, Deepjyoti and Ekbal, Asif},
booktitle={International Joint Conference on Natural Language Processing {\&} Asia-Pacific Chapter of the Association for Computational Linguistics 2025},
year={2025},
url={https://openreview.net/forum?id=IyDN8IHQ2m}
}