- HindiMD: A Multi-domain Corpora for Low-resource Sentiment Analysis
Paper
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Mamta, Asif Ekbal, Pushpak Bhattacharyya, Tista Saha, Alka Kumar, Shikha Srivastava (2022), HindiMD: A Multi-domain Corpora for Low-resource Sentiment Analysis, in 13th Conference on Language Resources and Evaluation (LREC 2022).
- CARES: CAuse Recognition for Emotion in Suicide Notes
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Soumitra Ghosh, Swarup Roy, Asif Ekbal, Pushpak Bhattacharyya, CARES: CAuse Recognition for Emotion in Suicide Notes, in 44th European Conference on Information Retrieval (ECIR 2022).
- Adversarial Multi-task Model for Emotion, Sentiment, and Sarcasm aided Complaint Detection
Paper
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Apoorva Singh, Arousha Nazir, Sriparna Saha, Adversarial Multi-task Model for Emotion, Sentiment, and Sarcasm aided Complaint Detection, in 44th European Conference on Information Retrieval (ECIR 2022).
- Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation
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Deeksha Varshney, Akshara Prabhakar, Asif Ekbal, Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation, in Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Seattle, Washington, July 10–15, 2022 (accepted).
- Deep cascaded multitask framework for detection of temporal orientation, sentiment and emotion from suicide notes
Paper
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Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya (2022). Deep cascaded multitask framework for detection of temporal orientation, sentiment and emotion from suicide notes, in Scientific Reports, Nature.
- Sentiment and Emotion-aware Multi-modal Complaint Identification
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Apoorva Singh, Soumyodeep Dey, Anamitra Singha, Sriparna Saha (2022), Sentiment and Emotion-aware Multi-modal Complaint Identification, in Proceedings of the 2022 Conference of the Association for the Advancement of Artificial Intelligence, February 22– March 10, 2022 (accepted).
- ScienceQA: A Novel Benchmark Resource for Question Answering on Scholarly Articles
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Tanik Saikh, Tirthankar Ghosal, Amish Mittal, Asif Ekbal, Pushpak Bhattacharyya (2022), ScienceQA: A Novel Benchmark Resource for Question Answering on Scholarly Articles, in International Journal on Digital Libraries (accepted).
- SEHC: A Benchmark Setup to Identify Online Hate Speech in English
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Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya, Tista Saha, Alka Kumar, Shikha Srivastava, SEHC: A Benchmark Setup to Identify Online Hate Speech in English
, in IEEE Transactions on Computational Social Systems (2022).
- Peer Review Analyze: A Novel Benchmark Resource for Computational Analysis of Peer Reviews
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Tirthankar Ghosal, Sandeep Kumar, Prabhat Kumar Bharti, Asif Ekbal, Peer Review Analyze: A Novel Benchmark Resource for Computational Analysis of Peer Reviews, in PLOS ONE (h5 index: 185, Impact Factor: 3.24).
- Product Review Translation: Parallel Corpus Creation and Robustness towards User-generated Noisy Text
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Kamal Kumar Gupta, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal, Product Review Translation: Parallel Corpus Creation and Robustness towards User-generated Noisy Text, in Proceedings of the 4th Workshop on e-Commerce and NLP (ECNLP 2021).
- A Deep Neural Architecture for Decision-Aware Meta-Review Generation
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A. Kumar, T. Ghoshal, A. Ekbal (2021), A Deep Neural Architecture for Decision-Aware Meta-Review Generation, in Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2021.
- What Does Your Bio Say? Inferring Twitter Users’ Depression Status From Multi-modal Profile Information Using Deep Learning
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Soumitra Ghosh , Asif Ekbal, and Pushpak Bhattacharyya (2021), What Does Your Bio Say? Inferring Twitter Users’ Depression Status From Multimodal Profile Information Using Deep Learning, in IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2021.3116242.
- A Hindi Image Caption Generation Framework Using Deep Learning
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Santosh Kumar Mishra, Rijul Dhir, Sriparna Saha, Pushpak Bhattacharyya. A Hindi Image Caption Generation Framework Using Deep Learning, In ACM Transactions on Asian and Low-Resource Language Information Processing, Volume 20, Issue 2. April 2021. Article No.: 32. pp 1–19. https://doi.org/10.1145/3432246
- A Multitask Framework to Detect Depression, Sentiment and Multi-label Emotion from Suicide Notes
Paper
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Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya, A Multitask Framework to Detect Depression, Sentiment and Multi-label Emotion from Suicide Notes, In Cognitive Computation. 2021 Feb 5:1-20.
- Aspect-Aware Response Generation for Multimodal Dialogue System
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Mauajama Firdaus, Nidhi Thakur and Asif Ekbal, Aspect-Aware Response Generation for Multimodal Dialogue System, In ACM Transactions on Intelligent Systems and Technology (TIST), 12(2), 1-33.
- A Unified Framework for Multilingual and Code-Mixed Visual Question Answering
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Deepak Gupta, Pabitra Lenka, Asif Ekbal, Pushpak Bhattacharyya. A Unified Framework for Multilingual and Code-Mixed Visual Question Answering. In 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 (AACL).
- Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation
Paper
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Humair Raj Khan*, Deepak Gupta*, Asif Ekbal Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation. In Findings of the Association for Computational Linguistics: EMNLP 2021.
- A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning
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Gupta, D., Ekbal, A. and Bhattacharyya, P., 2020, November. A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings (pp. 2267-2280).
- A Deep Neural Network Framework for English Hindi Question Answering
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DEEPAK GUPTA, ASIF EKBAL, and PUSHPAK BHATTACHARYYA, A Deep Neural Network Framework for English Hindi
Question Answering, In the ACM Trans. Asian Low-Resour. Lang. Inf. Process., Vol. 19, No. 2, Article 25. Publication date: November 2019.
- A Deep Multi-task Contextual Attention Framework for Multi-modal Affect Analysis
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S. Akhtar, D. Chauhan, A. Ekbal, A Deep Multi-task Contextual Attention Framework for Multi-modal Affect Analysis, In the ACM Transaction on Knowledge Discovery from Data, 14(3), 32:1-32.
- Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering
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Deepak Gupta, Pabitra Lenka, Asif Ekbal, Pushpak Bhattacharyya, Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering, In the Proceedings of the 22nd Conference on Computational Natural Language Learning.
- Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy
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Deepak Gupta, Rajkumar Pujari, Asif Ekbal, Pushpak Bhattacharyya, Anutosh Maitra, Tom Jain, Shubhashis Sengupta, Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy, In the Proceedings of the 27th International Conference on Computational Linguistics.
- MMQA: A Multi-domain Multi-lingual Question-Answering Framework for English and Hindi
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Deepak Gupta, Surabhi Kumari, Asif Ekbal, Pushpak Bhattacharyya, MMQA: A Multi-domain Multi-lingual Question-Answering Framework for English and Hindi, In the Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018).
- A Neural Framework for English-Hindi Cross-Lingual Natural Language Inference
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Tanik Saikh, Arkadipta De, Dibyanayan Bandyopadhyay, Baban Gain, and Asif Ekbal, A Neural Framework for English-Hindi Cross-Lingual Natural Language Inference, In the International Conference on Neural Information Processing (ICONIP) 2020, 18-22 November, 2020.
- MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations
Paper
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Mauajama Firdaus, Hardik Chauhan, Asif Ekbal and Pushpak Bhattacharyya MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations, In the Proceedings of the 28th International Conference on Computational Linguistics, pages 4441–4453 Barcelona, Spain (Online), December 8-13, 2020.
- Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis
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Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal, Pushpak Bhattacharyya Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis, In the Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
- A Platform for Event Extraction in Hindi
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Sovan Kumar Sahoo, Saumajit Saha, Asif Ekbal, Pushpak Bhattacharyya A Platform for Event Extraction in Hindi, In the Proceedings of the 2020 Conference on Language Resources and Evaluation Conference (LREC 2020); Marseille, France, May 13-15, 2020.
- Incorporating Politeness across Languages in Customer Care Responses: Towards building a Multi-lingual Empathetic Dialogue Agent
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Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya, Incorporating Politeness across Languages in Customer Care Responses: Towards building a Multi-lingual Empathetic Dialogue Agent, In the Proceedings of the 2020 Conference on Language Resources and Evaluation Conference (LREC 2020); Marseille, France, May 13-15, 2020.
- CEASE, a Corpus of Emotion Annotated Suicide notes in English
Paper
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Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya, CEASE, a Corpus of Emotion Annotated Suicide notes in English, In the Proceedings of the 2020 Conference on Language Resources and Evaluation Conference (LREC 2020); Marseille, France, May 13-15, 2020.
- Multi-domain Tweet Corpora for Sentiment Analysis: Resource Creation and Evaluation
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Mamta, Asif Ekbal, Pushpak Bhattacharyya ,Shikha Srivastava, Alka Kumar, Tista Saha, Multi-domain Tweet Corpora for Sentiment Analysis: Resource Creation and Evaluation, In the Proceedings of the 2020 Conference on Language Resources and Evaluation Conference (LREC 2020); Marseille, France, May 13-15, 2020.
- ScholarlyRead: A New Dataset for Scientific Article Reading Comprehension
Paper
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Tanik Saikh, Asif Ekbal and Pushpak Bhattacharyya, ScholarlyRead: A New Dataset for Scientific Article Reading Comprehension, In the Proceedings of the 2020 Conference on Language Resources and Evaluation Conference (LREC 2020); Marseille, France, May 13-15, 2020.
- Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis
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Dushyant Singh Chauhan, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya, Context-aware Interactive Attention for Multi-modal Sentiment and
Emotion Analysis, In the Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing
and the 9th International Joint Conference on Natural Language Processing (EMNLP 2019); Hong Kong, China, November 3–7, 2019.
- Medical sentiment analysis using social media: towards building a patient assisted system Dataset
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Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya, Medical Sentiment Analysis using Social Media: Towards building a PatientAssisted System, In the Proceedings of the 11th International Conference on Language Resource and Evaluation (LREC 2018); Miyazaki-Japan, 7-12th May, 2018.
- TAP-DLND 1.0 : A Corpus For Document Level Novelty Detection
Paper
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Tirthankar Ghosal, Amitra Salam, Swati Tiwari, Asif Ekbal, Pushpak Bhattacharyya; TAP-DLND 1.0 : A Corpus For Document Level Novelty Detection; in the Proceedings of the 11th International Conference on Language Resource and Evaluation (LREC 2018); Miyazaki-Japan, 7-12th May, 2018.
- Fine-grained Temporal Orientation
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Sabyasachi Kamila, Mohammed Hasanuzzaman, Asif Ekbal, Pushpak Bhattacharyya and Andy Way; Fine-grained Temporal Orientation and Its Relationship with Psycho-demographic Correlates; Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL:HLT 2018), Volume 1 (Long Papers); New Orleans, USA; 1st-6th June, 2018.
- Bilingual Word Embeddings - English/Hindi & English/French
Paper
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Md Shad Akhtar, Palaash Sawant, Sukanta Sen, Asif Ekbal, Pushpak Bhattacharyya; Solving Data Sparsity for Aspect based Sentiment Analysis using Cross-linguality and Multi-linguality; to appear in the Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL:HLT 2018); New Orleans, USA; 1st-6th May, 2018.
• Review Sentiment Datasets - Hindi
- Review sentiment dataset for aspect term extraction and sentiment classification
Paper
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Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya; Aspect Based Sentiment Analysis in Hindi: Resource Creation and Evaluation; In proceedings of the 10th International Conference on Language Resource and Evaluation (LREC 2016); 23-28; Portoroz, Slovenia; 2016.
- Review sentiment dataset for aspect category detection and sentiment classification
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Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya; Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for Hindi; In proceedings of the 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING 2016); Konya, Turkey; 2016.
- Review sentiment dataset for sentence level sentiment classification
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Md Shad Akhtar, Ayush Kumar, Asif Ekbal, Pushpak Bhattacharyya; A Hybrid Deep Learning Architecture for Sentiment Analysis; In proceedings of the 26th International Conference on Computational Linguistics (COLING 2016); 482-493; Osaka, Japan; 2016.
- Movie review sentiment dataset for sentence level sentiment classification
Paper
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Md Shad Akhtar, Ayush Kumar, Asif Ekbal, Pushpak Bhattacharyya; A Hybrid Deep Learning Architecture for Sentiment Analysis; In proceedings of the 26th International Conference on Computational Linguistics (COLING 2016); 482-493; Osaka, Japan; 2016.