Navonil Majumder

research

∙ 07/05/2023

Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning

Recently, the release of INSTRUCTEVAL has provided valuable insights int...

0 Deepanway Ghosal, et al. ∙

research

∙ 05/29/2023

ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS Adaptation

There are significant challenges for speaker adaptation in text-to-speec...

0 Ambuj Mehrish, et al. ∙

research

∙ 05/20/2023

Sentence Embedder Guided Utterance Encoder (SEGUE) for Spoken Language Understanding

The pre-trained speech encoder wav2vec 2.0 performs very well on various...

0 Yi Xuan Tan, et al. ∙

research

∙ 04/24/2023

Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model

The immense scale of the recent large language models (LLM) allows many ...

10 Deepanway Ghosal, et al. ∙

research

∙ 03/02/2023

Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding

Fine-tuning is widely used as the default algorithm for transfer learnin...

0 Yingting Li, et al. ∙

research

∙ 10/29/2022

Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering

We propose a simple refactoring of multi-choice question answering (MCQA...

0 Deepanway Ghosal, et al. ∙

research

∙ 10/06/2022

Multiview Contextual Commonsense Inference: A New Dataset and Task

Contextual commonsense inference is the task of generating various types...

14 Siqi Shen, et al. ∙

research

∙ 03/25/2022

CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues

This paper addresses the problem of dialogue reasoning with contextualiz...

1 Deepanway Ghosal, et al. ∙

research

∙ 09/06/2021

STaCK: Sentence Ordering with Temporal Commonsense Knowledge

Sentence order prediction is the task of finding the correct order of se...

12 Deepanway Ghosal, et al. ∙

research

∙ 08/22/2021

Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise Filtering

Distantly supervised models are very popular for relation extraction sin...

0 Tapas Nayak, et al. ∙

research

∙ 08/13/2021

Aspect Sentiment Triplet Extraction Using Reinforcement Learning

Aspect Sentiment Triplet Extraction (ASTE) is the task of extracting tri...

0 Tapas Nayak, et al. ∙

research

∙ 06/22/2021

Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communication

The majority of existing methods for empathetic response generation rely...

7 Navonil Majumder, et al. ∙

research

∙ 06/01/2021

CIDER: Commonsense Inference for Dialogue Explanation and Reasoning

Commonsense inference to understand and explain human language is a fund...

17 Deepanway Ghosal, et al. ∙

research

∙ 03/31/2021

Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey

Recently, with the advances made in continuous representation of words (...

0 Tapas Nayak, et al. ∙

research

∙ 12/22/2020

Recognizing Emotion Cause in Conversations

Recognizing the cause behind emotions in text is a fundamental yet under...

13 Soujanya Poria, et al. ∙

research

∙ 12/11/2020

Improving Zero Shot Learning Baselines with Commonsense Knowledge

Zero shot learning – the problem of training and testing on a completely...

7 Abhinaba Roy, et al. ∙

research

∙ 11/19/2020

Persuasive Dialogue Understanding: the Baselines and Negative Results

Persuasion aims at forming one's opinion and action via a series of pers...

6 Hui Chen, et al. ∙

research

∙ 10/06/2020

COSMIC: COmmonSense knowledge for eMotion Identification in Conversations

In this paper, we address the task of utterance level emotion recognitio...

0 Deepanway Ghosal, et al. ∙

research

∙ 10/04/2020

MIME: MIMicking Emotions for Empathetic Response Generation

Current approaches to empathetic response generation view the set of emo...

0 Navonil Majumder, et al. ∙

research

∙ 09/29/2020

Utterance-level Dialogue Understanding: An Empirical Study

The recent abundance of conversational data on the Web and elsewhere cal...

0 Deepanway Ghosal, et al. ∙

research

∙ 09/10/2020

Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks

Dialogue relation extraction (DRE) aims to detect the relation between t...

0 Hui Chen, et al. ∙

research

∙ 09/10/2020

Investigating Gender Bias in BERT

Contextual language models (CLMs) have pushed the NLP benchmarks to a ne...

1 Rishabh Bhardwaj, et al. ∙

research

∙ 05/03/2020

Improving Aspect-Level Sentiment Analysis with Aspect Extraction

Aspect-based sentiment analysis (ABSA), a popular research area in NLP h...

1 Navonil Majumder, et al. ∙

research

∙ 05/02/2020

KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis

Cross-domain sentiment analysis has received significant attention in re...

0 Deepanway Ghosal, et al. ∙

research

∙ 05/01/2020

Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research

Sentiment analysis as a field has come a long way since it was first int...

0 Soujanya Poria, et al. ∙

research

∙ 08/30/2019

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation

Emotion recognition in conversation (ERC) has received much attention, l...

0 Deepanway Ghosal, et al. ∙

research

∙ 08/13/2019

Variational Fusion for Multimodal Sentiment Analysis

Multimodal fusion is considered a key step in multimodal tasks such as s...

5 Navonil Majumder, et al. ∙

research

∙ 08/07/2019

Recent Trends in Deep Learning Based Personality Detection

In the recent times, automatic detection of human personality traits has...

8 Yash Mehta, et al. ∙

research

∙ 05/08/2019

Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances

Emotion is intrinsic to humans and consequently emotion understanding is...

32 Soujanya Poria, et al. ∙

research

∙ 01/23/2019

Sentiment and Sarcasm Classification with Multitask Learning

Sentiment classification and sarcasm detection are both important NLP ta...

0 Navonil Majumder, et al. ∙

research

∙ 11/01/2018

DialogueRNN: An Attentive RNN for Emotion Detection in Conversations

Emotion detection in conversations is a necessary step for a number of a...

0 Navonil Majumder, et al. ∙

research

∙ 10/05/2018

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

Emotion recognition in conversations is a challenging Artificial Intelli...

0 Soujanya Poria, et al. ∙

research

∙ 03/19/2018

Multimodal Sentiment Analysis: Addressing Key Issues and Setting up Baselines

Sentiment analysis is proven to be very useful tool in many applications...

0 Soujanya Poria, et al. ∙

research

∙ 03/01/2018

A Deep Learning Approach for Multimodal Deception Detection

Automatic deception detection is an important task that has gained momen...

0 Gangeshwar Krishnamurthy, et al. ∙

Navonil Majumder

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