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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...
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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...
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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...
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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 ...
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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...
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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...
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10/06/2022
Multiview Contextual Commonsense Inference: A New Dataset and Task
Contextual commonsense inference is the task of generating various types...
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03/25/2022
CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues
This paper addresses the problem of dialogue reasoning with contextualiz...
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09/06/2021
STaCK: Sentence Ordering with Temporal Commonsense Knowledge
Sentence order prediction is the task of finding the correct order of se...
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08/22/2021
Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise Filtering
Distantly supervised models are very popular for relation extraction sin...
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08/13/2021
Aspect Sentiment Triplet Extraction Using Reinforcement Learning
Aspect Sentiment Triplet Extraction (ASTE) is the task of extracting tri...
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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...
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06/01/2021
CIDER: Commonsense Inference for Dialogue Explanation and Reasoning
Commonsense inference to understand and explain human language is a fund...
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03/31/2021
Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey
Recently, with the advances made in continuous representation of words (...
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12/22/2020
Recognizing Emotion Cause in Conversations
Recognizing the cause behind emotions in text is a fundamental yet under...
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12/11/2020
Improving Zero Shot Learning Baselines with Commonsense Knowledge
Zero shot learning – the problem of training and testing on a completely...
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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...
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10/06/2020
COSMIC: COmmonSense knowledge for eMotion Identification in Conversations
In this paper, we address the task of utterance level emotion recognitio...
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10/04/2020
MIME: MIMicking Emotions for Empathetic Response Generation
Current approaches to empathetic response generation view the set of emo...
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09/29/2020
Utterance-level Dialogue Understanding: An Empirical Study
The recent abundance of conversational data on the Web and elsewhere cal...
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09/10/2020
Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks
Dialogue relation extraction (DRE) aims to detect the relation between t...
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09/10/2020
Investigating Gender Bias in BERT
Contextual language models (CLMs) have pushed the NLP benchmarks to a ne...
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05/03/2020
Improving Aspect-Level Sentiment Analysis with Aspect Extraction
Aspect-based sentiment analysis (ABSA), a popular research area in NLP h...
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05/02/2020
KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis
Cross-domain sentiment analysis has received significant attention in re...
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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...
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08/30/2019
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
Emotion recognition in conversation (ERC) has received much attention, l...
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08/13/2019
Variational Fusion for Multimodal Sentiment Analysis
Multimodal fusion is considered a key step in multimodal tasks such as s...
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08/07/2019
Recent Trends in Deep Learning Based Personality Detection
In the recent times, automatic detection of human personality traits has...
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05/08/2019
Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances
Emotion is intrinsic to humans and consequently emotion understanding is...
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01/23/2019
Sentiment and Sarcasm Classification with Multitask Learning
Sentiment classification and sarcasm detection are both important NLP ta...
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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...
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10/05/2018
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations
Emotion recognition in conversations is a challenging Artificial Intelli...
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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...
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03/01/2018
