Navonil Majumder

Orcid: 0000-0002-1449-617X

According to our database1, Navonil Majumder authored at least 57 papers between 2017 and 2024.

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Bibliography

2024
Stuck in the Quicksand of Numeracy, Far from AGI Summit: Evaluating LLMs' Mathematical Competency through Ontology-guided Perturbations.
CoRR, 2024

2023
A review of deep learning techniques for speech processing.
Inf. Fusion, November, 2023

Dialogue Relation Extraction with Document-Level Heterogeneous Graph Attention Networks.
Cogn. Comput., March, 2023

Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research.
IEEE Trans. Affect. Comput., 2023

WikiDes: A Wikipedia-based dataset for generating short descriptions from paragraphs.
Inf. Fusion, 2023

Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning.
CoRR, 2023

ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS Adaptation.
CoRR, 2023

Sentence Embedder Guided Utterance Encoder (SEGUE) for Spoken Language Understanding.
CoRR, 2023

ReMask: A Robust Information-Masking Approach for Domain Counterfactual Generation.
CoRR, 2023

Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model.
CoRR, 2023

Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding.
CoRR, 2023

Text-to-Audio Generation using Instruction Guided Latent Diffusion Model.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2023

Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

kNN-CM: A Non-parametric Inference-Phase Adaptation of Parametric Text Classifiers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Robust Information-Masking Approach for Domain Counterfactual Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Improving aspect-level sentiment analysis with aspect extraction.
Neural Comput. Appl., 2022

Multimodal research in vision and language: A review of current and emerging trends.
Inf. Fusion, 2022

Multiview Contextual Commonsense Inference: A New Dataset and Task.
CoRR, 2022

Improving Zero-Shot Learning Baselines with Commonsense Knowledge.
Cogn. Comput., 2022

Exemplars-Guided Empathetic Response Generation Controlled by the Elements of Human Communication.
IEEE Access, 2022

Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Persuasive dialogue understanding: The baselines and negative results.
Neurocomputing, 2021

Leveraging label hierarchy using transfer and multi-task learning: A case study on patent classification.
Neurocomputing, 2021

Recognizing Emotion Cause in Conversations.
Cogn. Comput., 2021

Deep Neural Approaches to Relation Triplets Extraction: a Comprehensive Survey.
Cogn. Comput., 2021

Investigating Gender Bias in BERT.
Cogn. Comput., 2021

CIDER: Commonsense Inference for Dialogue Explanation and Reasoning.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise Filtering.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations.
Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

STaCK: Sentence Ordering with Temporal Commonsense Knowledge.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Aspect Sentiment Triplet Extraction Using Reinforcement Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Exploring the Role of Context in Utterance-level Emotion, Act and Intent Classification in Conversations: An Empirical Study.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

More Identifiable yet Equally Performant Transformers for Text Classification.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Recognizing Emotion Cause in Conversations.
CoRR, 2020

Emerging Trends of Multimodal Research in Vision and Language.
CoRR, 2020

Utterance-level Dialogue Understanding: An Empirical Study.
CoRR, 2020

Improving Aspect-Level Sentiment Analysis with Aspect Extraction.
CoRR, 2020

Recent trends in deep learning based personality detection.
Artif. Intell. Rev., 2020

MIME: MIMicking Emotions for Empathetic Response Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

COSMIC: COmmonSense knowledge for eMotion Identification in Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Sentiment and Sarcasm Classification With Multitask Learning.
IEEE Intell. Syst., 2019

Variational Fusion for Multimodal Sentiment Analysis.
CoRR, 2019

Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances.
IEEE Access, 2019

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

DialogueRNN: An Attentive RNN for Emotion Detection in Conversations.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Multimodal sentiment analysis using hierarchical fusion with context modeling.
Knowl. Based Syst., 2018

Multimodal Sentiment Analysis: Addressing Key Issues and Setting Up the Baselines.
IEEE Intell. Syst., 2018

IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Deep Learning Approach for Multimodal Deception Detection.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

Memory Fusion Network for Multi-view Sequential Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Deep Learning-Based Document Modeling for Personality Detection from Text.
IEEE Intell. Syst., 2017

Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Context-Dependent Sentiment Analysis in User-Generated Videos.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017


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