activity
20182025
most citedDialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation

8 citations · 21 across the 12 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CL2019★ 1 cited

Multi-label Categorization of Accounts of Sexism using a Neural Framework

Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya +4

Sexism, an injustice that subjects women and girls to enormous suffering, manifests in blatant as well as subtle ways. In the wake of growing documentation of experiences of sexism…

cs.IR2019

Affect Enriched Word Embeddings for News Information Retrieval

Tommaso Teofili, Niyati Chhaya

Distributed representations of words have shown to be useful to improve the effectiveness of IR systems in many sub-tasks like query expansion, retrieval and ranking. Algorithms li…

cs.CL2019★ 8 cited

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

Deepanway Ghosal, Navonil Majumder, Soujanya Poria +2

Emotion recognition in conversation (ERC) has received much attention, lately, from researchers due to its potential widespread applications in diverse areas, such as health-care,…

cs.LG2019★ 3 cited

Variational Fusion for Multimodal Sentiment Analysis

Navonil Majumder, Soujanya Poria, Gangeshwar Krishnamurthy +3

Multimodal fusion is considered a key step in multimodal tasks such as sentiment analysis, emotion detection, question answering, and others. Most of the recent work on multimodal…

cs.CL2019

Sentiment and Sarcasm Classification with Multitask Learning

Navonil Majumder, Soujanya Poria, Haiyun Peng +3

Sentiment classification and sarcasm detection are both important natural language processing (NLP) tasks. Sentiment is always coupled with sarcasm where intensive emotion is expre…