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Resources

Following resources are freely available for research purposes only. If you use these resources please cite relevant papers


- When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews
Paper    Code & Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal. When Reviewers Lock Horns: Finding Disagreements in Scientific Peer Reviews. Accepted for publication in the Proceedings of the Empirical Methods in Natural Language Processing (EMNLP 2023).


- Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Baban Gain, Ramakrishna Appicharla, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal, Muthusamy Chelliah. Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards. Accepted for publication in the Findings of the Association for Computational Linguistics: EMNLP 2023.




- e-THERAPIST: I suggest you to cultivate a mindset of positivity and nurture uplifting thoughts
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Kshitij Mishra, Priyanshu Priya, Manisha Burja and Asif Ekbal. e-THERAPIST: I suggest you to cultivate a mindset of positivity and nurture uplifting thoughts. Accepted for publication in the Proceedings of the Empirical Methods in Natural Language Processing (EMNLP 2023).




- INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward-Based Dialogue System
Paper    Dataset & Code    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Zishan Ahmad, Suman Saurabh, Vaishakh Sreekanth Menon, Asif Ekbal, Roshni Ramnani and Anutosh Maitra. INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward-Based Dialogue System. Accepted for publication in the Proceedings of the Empirical Methods in Natural Language Processing (EMNLP 2023).


- Elevating Code-mixed Text Handling through Auditory Information of Words.
Paper    Code    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Mamta, Zishan Ahmad and Asif Ekbal. Elevating Code-mixed Text Handling through Auditory Information of Words. Accepted for publication in the Proceedings of the Empirical Methods in Natural Language Processing (EMNLP 2023).




- Standardizing Distress Analysis: Emotion-Driven Distress Identification and Cause Extraction (DICE) in Multimodal Online Posts
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Gopendra Vikram Singh, Soumitra Ghosh, Atul Verma, Chetna Painkra and Asif Ekbal. Standardizing Distress Analysis: Emotion-Driven Distress Identification and Cause Extraction (DICE) in Multimodal Online Posts. Accepted for publication in the Proceedings of the Empirical Methods in Natural Language Processing (EMNLP 2023).




- EmoffMeme: Identifying Offensive Memes by Leveraging Underlying Emotions
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Gitanjali Kumari, Dibyanayan Bandyopadhyay & Asif Ekbal (2023). EmoffMeme: Identifying Offensive Memes by Leveraging Underlying Emotions In Multimedia Tools and Applications, 2023 Apr 26:1-36.




- Refine Natural Language Inference for Fake News Detection
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Tanik Saikh, Asif Ekbal and Pushpak Bhattacharyya. Refine Natural Language Inference for Fake News Detection. Submitted to Scientific Reports, Springer.


- PAL to Lend a Helping Hand: Towards Building an Emotion Adaptive Polite and Empathetic Counseling Conversational Agent
Paper    Code & Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Kshitij Mishra, Priyanshu Priya and Asif Ekbal (2023). PAL to Lend a Helping Hand: Towards Building an Emotion Adaptive Polite and Empathetic Counseling Conversational Agent. Accepted for publication in the Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023).




- PARTNER: A Persuasive Mental Health and Legal Counselling Dialogue System for Women and Children Crime Victims.
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Priyanshu Priya, Kshitij Mishra, Palak Totala and Asif Ekbal. PARTNER: A Persuasive Mental Health and Legal Counselling Dialogue System for Women and Children Crime Victims. Accepted for publication in the Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023).




- Multitasking of sentiment detection and emotion recognition in code-mixed Hinglish data
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Soumitra Ghosh, Amit Priyankar, Asif Ekbal, Pushpak Bhattacharyya (2023). Multitasking of sentiment detection and emotion recognition in code-mixed Hinglish data. In Knowledge-Based Systems (KBS), Volume 260, 25 January 2023, 110182.


- RPTCS: A Reinforced Persona-aware Topic-guiding Conversational System
Paper    Dataset     Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Zishan Ahmad, Kshitij Mishra, Asif Ekbal, and Pushpak Bhattacharyya, RPTCS: A Reinforced Persona-aware Topic-guiding Conversational System, accepted for publication in the Proceedings of the 2023 European Chapter of the Association for Computational Linguistics (EACL 2023)


- Knowledge graph assisted end-to-end medical dialog generation.
Paper    Code     Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Deeksha Varshney, Aizan Zafar, Niranshu Kumar Behera, Asif Ekbal, Knowledge graph assisted end-to-end medical dialog generation. In AI in medicine (Elsevier). https://doi.org/10.1016/j.artmed.2023.102535




- A multi-task learning framework for politeness and emotion detection in dialogues for mental health counselling and legal aid
Paper    Code & Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Priyanshu Priya, Mauajama Firdaus, Asif Ekbal, A multi-task learning framework for politeness and emotion detection in dialogues for mental health counselling and legal aid, In Expert Systems with Applications, Volume 224, 15 August 2023, 120025




- Zombies Eat Brains, You are Safe: A Knowledge Infusion-based Multitasking System for Sarcasm Detection in Meme
Paper    Dataset     Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Dibyanayan Bandyopadhyay, Gitanjali Kumari, Asif Ekbal, Santanu Pal, Arindam Chatterjee, and Vinutha BN, Zombies Eat Brains, You are Safe: A Knowledge Infusion-based Multitasking System for Sarcasm Detection in Meme, In European Conference on Information Retrieval (ECIR 2023), 2nd-6th April, 2023, Dublin, Ireland.




- DeCoDE: DEtection of COgnitive Distortion and Emotion cause extraction in clinical conversations
Paper    Code & Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Gopendra Vikram Singh, Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya, DeCoDE: DEtection of COgnitive Distortion and Emotion cause extraction in clinical conversations. In European Conference on Information Retrieval (ECIR 2023), 2nd-6th April, 2023, Dublin, Ireland.


- Service is good, very good or excellent? Towards Aspect based Sentiment Intensity Analysis
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Mamta, Asif Ekbal, Service is good, very good or excellent? Towards Aspect based Sentiment Intensity Analysis. In European Conference on Information Retrieval (ECIR 2023), 2nd-6th April, 2023, Dublin, Ireland.


- Multitask Learning for Multilingual Intent Detection and Slot Filling in Dialogue Systems
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Mauajama Firdaus, Asif Ekbal, Erik Cambria, Multitask Learning for Multilingual Intent Detection and Slot Filling in Dialogue Systems. Information Fusion Journal (under review).


- CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware Dialog Generation
Paper    Code & Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Deeksha Varshney, Aizan Zafar, Niranshu kumar Behera, Asif Ekbal, , CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware Dialog Generation, In the Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP-2022).




- Empathetic Persuasion: Reinforcing Empathy and Persuasiveness in Dialogue Systems
Paper    Code & Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Azlaan Mustafa Samad, Kshitij Mishra, Mauajama Firdaus, Asif Ekbal, Empathetic Persuasion: Reinforcing Empathy and Persuasiveness in Dialogue Systems 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 .


- An Emoji-aware Multitask Framework for Multimodal Sarcasm Detection
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Dushyant Singh Chauhan, Gopendra Vikram Singh, Aseem Arora, Asif Ekbal, and Pushpak Bhattacharyya, An Emoji-aware Multitask Framework for Multimodal Sarcasm Detection. Knowledge-Based Systems, Volume 257, 5 December 2022.


- A Sentiment and Emotion aware Multimodal Multiparty Humor Recognition in Multilingual Conversational Setting
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Dushyant Singh Chauhan, Gopendra Vikram Singh, Aseem Arora, Asif Ekbal, and Pushpak Bhattacharyya, A Sentiment and Emotion aware Multimodal Multiparty Humor Recognition in Multilingual Conversational Setting. In 29th International Conference on Computational Linguistics (COLING), October 12-17, Korea.


- COMMA-DEER: COmmon-sense Aware Multimodal Multitask Approach for Detection of Emotion and Emotional Reasoning in Conversations
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Soumitra Ghosh, Gopendra Vikram Singh, Asif Ekbal, Pushpak Bhattacharyya (2022). COMMA-DEER: COmmon-sense Aware Multimodal Multitask Approach for Detection of Emotion and Emotional Reasoning in Conversations. In 29th International Conference on Computational Linguistics (COLING), October 12-17, Korea.


- EM-PERSONA: EMotion-assisted Deep Neural Framework for PERSONAlity Subtyping from Suicide Notes
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Soumitra Ghosh, Dhirendra Maurya, Asif Ekbal, Pushpak Bhattacharyya (2022). EM-PERSONA: EMotion-assisted Deep Neural Framework for PERSONAlity Subtyping from Suicide Notes. In 29th International Conference on Computational Linguistics (COLING), October 12-17, Korea.


- PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity Donation
Paper    Code and Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Kshitij Mishra, Azlaan Mustafa Samad, Palak Totala, Asif Ekbal (2022). PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity Donation. In 29th International Conference on Computational Linguistics (COLING), October 12-17, Korea.


- Am I No Good? Towards Detecting Perceived Burdensomeness and Thwarted Belongingness from Suicide Notes
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya, Am I No Good? Towards Detecting Perceived Burdensomeness and Thwarted Belongingness from Suicide Notes, in Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022).




- EmoInHindi: A Multi-label Emotion and Intensity Annotated Dataset in Hindi for Emotion Recognition in Dialogues
Paper    Dataset     Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
Gopendra Vikram Singh, Priyanshu Priya, Mauajama Firdaus, Asif Ekbal,Pushpak Bhattacharya, EmoInHindi: A Multi-label Emotion and Intensity Annotated Dataset in Hindi for Emotion Recognition in Dialogues, In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 5829–5837, Marseille, France (LREC 2022).


- HindiMD: A Multi-domain Corpora for Low-resource Sentiment Analysis
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
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
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
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    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
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
Paper    Code    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
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    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
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
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
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
Paper    Codes and Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
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
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
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
Paper    Codes and Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
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
Paper    Dataset    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
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
Paper    Code    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
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
Paper    Code    Bibtex
By downloading you agree to use the resources for research purpose only and cite the below paper.
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
Paper    Dataset    Bibtex
By using the dataset you agree to use it for research purpose only and cite the below paper.
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    Dataset    Bibtex
By using the dataset you agree to use it for research purpose only and cite the below paper.
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
Paper    Dataset    Bibtex
By using the dataset you agree to use it for research purpose only and cite the below paper.
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
Paper    DataSet    Bibtex
By downloading you agree to use the datasets for research purpose only and cite the below paper.
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    DataSet    Bibtex
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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
Paper    DataSet    Bibtex
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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
Paper    DataSet    Bibtex
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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
Paper    DataSet    Bibtex
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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
Paper    DataSet    Bibtex
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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
Paper    DataSet    Bibtex
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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
Paper    DataSet    Bibtex
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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
Paper    DataSet    Bibtex
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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    Dataset    Bibtex
By using the dataset you agree to use it for research purpose only and cite the below paper.
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
Paper    Dataset    Bibtex
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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
Paper    Dataset    Bibtex
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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
Paper    Dataset    Bibtex
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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    Dataset    Bibtex
By using the dataset you agree to use it for research purpose only and cite the below paper.
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
Paper    Dataset    Bibtex
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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    Dataset    Bibtex
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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
Paper    Dataset    Bibtex
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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
Paper    Dataset    Bibtex
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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    ReadMe    License    Dataset    Bibtex
By downloading you agree to use the datasets for research purpose only and cite the below paper.
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
Paper    Dataset    Bibtex
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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    Dataset    Bibtex
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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    Dataset    Bibtex
By downloading you agree to use the datasets for research purpose only and cite the below paper.
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
Paper    Dataset    Bibtex
By downloading you agree to use the datasets for research purpose only and cite the below paper.
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
Paper    Dataset    Bibtex
By downloading you agree to use the datasets for research purpose only and cite the below paper.
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    Dataset    Bibtex
By downloading you agree to use the datasets for research purpose only and cite the below paper.
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.