DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation D Ghosal, N Majumder, S Poria, N Chhaya, A Gelbukh EMNLP 2019, 2019 | 691 | 2019 |
COSMIC: Commonsense knowledge for emotion identification in conversations D Ghosal, N Majumder, A Gelbukh, R Mihalcea, S Poria EMNLP 2020, 2020 | 366 | 2020 |
MIME: Mimicking Emotions for Empathetic Response Generation N Majumder, P Hong, S Peng, J Lu, D Ghosal, A Gelbukh, R Mihalcea, ... EMNLP 2020, 2020 | 246 | 2020 |
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis MS Akhtar, DS Chauhan, D Ghosal, S Poria, A Ekbal, P Bhattacharyya NAACL 2019, 2019 | 237 | 2019 |
Contextual inter-modal attention for multi-modal sentiment analysis D Ghosal, MS Akhtar, D Chauhan, S Poria, A Ekbal, P Bhattacharyya EMNLP 2018, 2018 | 218 | 2018 |
Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model D Ghosal, N Majumder, A Mehrish, S Poria ACMMM 2023, 2023 | 193* | 2023 |
All-in-one: Emotion, sentiment and intensity prediction using a multi-task ensemble framework S Akhtar, D Ghosal, A Ekbal, P Bhattacharyya, S Kurohashi IEEE Transactions on Affective Computing, 2019 | 130 | 2019 |
A multilayer perceptron based ensemble technique for fine-grained financial sentiment analysis MS Akhtar, A Kumar, D Ghosal, A Ekbal, P Bhattacharyya EMNLP 2017, 2017 | 124 | 2017 |
Classification of fashion article images using convolutional neural networks S Bhatnagar, D Ghosal, MH Kolekar ICIIP 2017, 2017 | 117 | 2017 |
Music Genre Recognition Using Deep Neural Networks and Transfer Learning. D Ghosal, MH Kolekar Interspeech 2018, 2018 | 113 | 2018 |
Kingdom: Knowledge guided domain adaptation for sentiment analysis D Ghosal, D Hazarika, N Majumder, A Roy, S Poria, R Mihalcea ACL 2020, 2020 | 90 | 2020 |
Recognizing emotion cause in conversations S Poria, N Majumder, D Hazarika, D Ghosal, R Bhardwaj, SYB Jian, ... Cognitive Computation 13, 1317-1332, 2021 | 87 | 2021 |
CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues D Ghosal, S Shen, N Majumder, R Mihalcea, S Poria ACL 2022, 2022 | 55 | 2022 |
Recognizing emotion cause in conversations S Poria, N Majumder, D Hazarika, D Ghosal, R Bhardwaj, SYB Jian, ... Cognitive Computation 13 (5), 1317-1332, 2021 | 53* | 2021 |
Mustango: Toward controllable text-to-music generation J Melechovsky, Z Guo, D Ghosal, N Majumder, D Herremans, S Poria NAACL 2024, 2023 | 51 | 2023 |
Tango 2: Aligning diffusion-based text-to-audio generations through direct preference optimization N Majumder, CY Hung, D Ghosal, WN Hsu, R Mihalcea, S Poria arXiv preprint arXiv:2404.09956, 2024 | 40 | 2024 |
IITP at SemEval-2017 task 5: an ensemble of deep learning and feature based models for financial sentiment analysis D Ghosal, S Bhatnagar, MS Akhtar, A Ekbal, P Bhattacharyya SemEval, ACL 2017, 2017 | 38 | 2017 |
Exploring the Role of Context in Utterance-level Emotion, Act and Intent Classification in Conversations: An Empirical Study D Ghosal, N Majumder, R Mihalcea, S Poria ACL 2021, 2021 | 37* | 2021 |
Improving Zero Shot Learning Baselines with Commonsense Knowledge A Roy, D Ghosal, E Cambria, N Majumder, R Mihalcea, S Poria Cognitive Computation 2021, 2020 | 32 | 2020 |
A multi-task ensemble framework for emotion, sentiment and intensity prediction MS Akhtar, D Ghosal, A Ekbal, P Bhattacharyya, S Kurohashi arXiv preprint arXiv:1808.01216, 2018 | 32 | 2018 |