activity
20182026
most citedA Multi-task Ensemble Framework for Emotion, Sentiment and Intensity Prediction

33 citations · 113 across the 33 of their papers we have counts for

collaborators
Showing 2020Show all

8 papers · 1 filter

cs.CL2020★ 5 cited

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…

cs.CL2020

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…

cs.CL2020★ 1 cited

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…

cs.CL2020★ 16 cited

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…

cs.CL2020★ 2 cited

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…

cs.CL2020

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…