Mauajama Firdaus

Orcid: 0000-0001-7485-5974

According to our database1, Mauajama Firdaus authored at least 39 papers between 2018 and 2024.

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Bibliography

2024
Zero-shot multitask intent and emotion prediction from multimodal data: A benchmark study.
Neurocomputing, February, 2024

A Unified Framework for Slot based Response Generation in a Multimodal Dialogue System.
Multim. Tools Appl., January, 2024

Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Affect-GCN: a multimodal graph convolutional network for multi-emotion with intensity recognition and sentiment analysis in dialogues.
Multim. Tools Appl., November, 2023

Being Polite: Modeling Politeness Variation in a Personalized Dialog Agent.
IEEE Trans. Comput. Soc. Syst., August, 2023

A multi-task learning framework for politeness and emotion detection in dialogues for mental health counselling and legal aid.
Expert Syst. Appl., August, 2023

Unity in Diversity: Multilabel Emoji Identification in Tweets.
IEEE Trans. Comput. Soc. Syst., 2023

Predicting Politeness Variations in Goal-Oriented Conversations.
IEEE Trans. Comput. Soc. Syst., 2023

EmoInt-Trans: A Multimodal Transformer for Identifying Emotions and Intents in Social Conversations.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

I Enjoy Writing and Playing, Do You?: A Personalized and Emotion Grounded Dialogue Agent Using Generative Adversarial Network.
IEEE Trans. Affect. Comput., 2023

Multitask learning for multilingual intent detection and slot filling in dialogue systems.
Inf. Fusion, 2023

Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Prompt-Based Editing for Text Style Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Unified Framework for Emotion Identification and Generation in Dialogues.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: EACL 2023, 2023

2022
EmoSen: Generating Sentiment and Emotion Controlled Responses in a Multimodal Dialogue System.
IEEE Trans. Affect. Comput., 2022

<i>Knowing What to Say: </i> Towards knowledge grounded code-mixed response generation for open-domain conversations.
Knowl. Based Syst., 2022

Please be polite: Towards building a politeness adaptive dialogue system for goal-oriented conversations.
Neurocomputing, 2022

Are Emoji, Sentiment, and Emotion Friends? A Multi-task Learning for Emoji, Sentiment, and Emotion Analysis.
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022

Empathetic Persuasion: Reinforcing Empathy and Persuasiveness in Dialogue Systems.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

EmoInHindi: A Multi-label Emotion and Intensity Annotated Dataset in Hindi for Emotion Recognition in Dialogues.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Sentiment Guided Aspect Conditioned Dialogue Generation in a Multimodal System.
Proceedings of the Advances in Information Retrieval, 2022

PoliSe: Reinforcing Politeness Using User Sentiment for Customer Care Response Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Aspect-Aware Response Generation for Multimodal Dialogue System.
ACM Trans. Intell. Syst. Technol., 2021

A Deep Multi-task Model for Dialogue Act Classification, Intent Detection and Slot Filling.
Cogn. Comput., 2021

SEPRG: Sentiment aware Emotion controlled Personalized Response Generation.
Proceedings of the 14th International Conference on Natural Language Generation, 2021

Multi-Aspect Controlled Response Generation in a Multimodal Dialogue System using Hierarchical Transformer Network.
Proceedings of the International Joint Conference on Neural Networks, 2021

Attribute Centered Multimodal Response Generation in a Dialogue System.
Proceedings of the International Joint Conference on Neural Networks, 2021

More the Merrier: Towards Multi-Emotion and Intensity Controllable Response Generation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Incorporating Politeness across Languages in Customer Care Responses: Towards building a Multi-lingual Empathetic Dialogue Agent.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Persona aware Response Generation with Emotions.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

MultiDM-GCN: Aspect-Guided Response Generation in Multi-Domain Multi-Modal Dialogue System using Graph Convolution Network.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
A Multi-Task Hierarchical Approach for Intent Detection and Slot Filling.
Knowl. Based Syst., 2019

Multi-Lingual Attention based Multi-Intent Detection in Dialogue System.
Aust. J. Intell. Inf. Process. Syst., 2019

Courteously Yours: Inducing courteous behavior in Customer Care responses using Reinforced Pointer Generator Network.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Exploring Machine Learning and Deep Learning Frameworks for Task-Oriented Dialogue Act Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Intent Detection for Spoken Language Understanding Using a Deep Ensemble Model.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

A Deep Learning Based Multi-task Ensemble Model for Intent Detection and Slot Filling in Spoken Language Understanding.
Proceedings of the Neural Information Processing - 25th International Conference, 2018


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