333 citations · 588 across the 48 of their papers we have counts for
11 papers · 1 filter
Improving Zero Shot Learning Baselines with Commonsense Knowledge
Abhinaba Roy, Deepanway Ghosal, Erik Cambria +3
Zero shot learning -- the problem of training and testing on a completely disjoint set of classes -- relies greatly on its ability to transfer knowledge from train classes to test…
Recognizing Emotion Cause in Conversations
Soujanya Poria, Navonil Majumder, Devamanyu Hazarika +9
We address the problem of recognizing emotion cause in conversations, define two novel sub-tasks of this problem, and provide a corresponding dialogue-level dataset, along with str…
Persuasive Dialogue Understanding: the Baselines and Negative Results
Hui Chen, Deepanway Ghosal, Navonil Majumder +2
Persuasion aims at forming one's opinion and action via a series of persuasive messages containing persuader's strategies. Due to its potential application in persuasive dialogue s…
Utterance-level Dialogue Understanding: An Empirical Study
Deepanway Ghosal, Navonil Majumder, Rada Mihalcea +1
The recent abundance of conversational data on the Web and elsewhere calls for effective NLP systems for dialog understanding. Complete utterance-level understanding often requires…
COSMIC: COmmonSense knowledge for eMotion Identification in Conversations
Deepanway Ghosal, Navonil Majumder, Alexander Gelbukh +2
In this paper, we address the task of utterance level emotion recognition in conversations using commonsense knowledge. We propose COSMIC, a new framework that incorporates differe…
MIME: MIMicking Emotions for Empathetic Response Generation
Navonil Majumder, Pengfei Hong, Shanshan Peng +5
Current approaches to empathetic response generation view the set of emotions expressed in the input text as a flat structure, where all the emotions are treated uniformly. We argu…
Investigating Gender Bias in BERT
Rishabh Bhardwaj, Navonil Majumder, Soujanya Poria
Contextual language models (CLMs) have pushed the NLP benchmarks to a new height. It has become a new norm to utilize CLM provided word embeddings in downstream tasks such as text…
Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks
Hui Chen, Pengfei Hong, Wei Han +2
Dialogue relation extraction (DRE) aims to detect the relation between two entities mentioned in a multi-party dialogue. It plays an important role in constructing knowledge graphs…
KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis
Deepanway Ghosal, Devamanyu Hazarika, Abhinaba Roy +3
Cross-domain sentiment analysis has received significant attention in recent years, prompted by the need to combat the domain gap between different applications that make use of se…
Improving Aspect-Level Sentiment Analysis with Aspect Extraction
Navonil Majumder, Rishabh Bhardwaj, Soujanya Poria +4
Aspect-based sentiment analysis (ABSA), a popular research area in NLP has two distinct parts -- aspect extraction (AE) and labeling the aspects with sentiment polarity (ALSA). Alt…
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder +1
Sentiment analysis as a field has come a long way since it was first introduced as a task nearly 20 years ago. It has widespread commercial applications in various domains like mar…