333 citations · 366 across the 12 of their papers we have counts for
16 papers
WikiDes: A Wikipedia-Based Dataset for Generating Short Descriptions from Paragraphs
Hoang Thang Ta, Abu Bakar Siddiqur Rahman, Navonil Majumder +5
As free online encyclopedias with massive volumes of content, Wikipedia and Wikidata are key to many Natural Language Processing (NLP) tasks, such as information retrieval, knowled…
Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2021
Maaz Amjad, Sabur Butt, Hamza Imam Amjad +3
Automatic detection of fake news is a highly important task in the contemporary world. This study reports the 2nd shared task called UrduFake@FIRE2021 on identifying fake news dete…
Semantics between customers and providers: The relation between product descriptions, reviews, and customer satisfaction in E-commerce
Carlos A. Rodriguez-Diaz, Sergio Jimenez, Daniel Bejarano +2
In social commerce, users dialogue with each other on the topics related to the providers' products. However, the language customers use may vary from the language vendors use on t…
NLP-CIC @ PRELEARN: Mastering prerequisites relations, from handcrafted features to embeddings
Jason Angel, Segun Taofeek Aroyehun, Alexander Gelbukh
We present our systems and findings for the prerequisite relation learning task (PRELEARN) at EVALITA 2020. The task aims to classify whether a pair of concepts hold a prerequisite…
NLP-CIC @ DIACR-Ita: POS and Neighbor Based Distributional Models for Lexical Semantic Change in Diachronic Italian Corpora
Jason Angel, Carlos A. Rodriguez-Diaz, Alexander Gelbukh +1
We present our systems and findings on unsupervised lexical semantic change for the Italian language in the DIACR-Ita shared-task at EVALITA 2020. The task is to determine whether…
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…
NLP-CIC at SemEval-2020 Task 9: Analysing sentiment in code-switching language using a simple deep-learning classifier
Jason Angel, Segun Taofeek Aroyehun, Antonio Tamayo +1
Code-switching is a phenomenon in which two or more languages are used in the same message. Nowadays, it is quite common to find messages with languages mixed in social media. This…
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…
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,…
Recent Trends in Deep Learning Based Personality Detection
Yash Mehta, Navonil Majumder, Alexander Gelbukh +1
Recently, the automatic prediction of personality traits has received a lot of attention. Specifically, personality trait prediction from multimodal data has emerged as a hot topic…
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…
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…
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
Navonil Majumder, Soujanya Poria, Devamanyu Hazarika +3
Emotion detection in conversations is a necessary step for a number of applications, including opinion mining over chat history, social media threads, debates, argumentation mining…
Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling
N. Majumder, D. Hazarika, A. Gelbukh +2
Multimodal sentiment analysis is a very actively growing field of research. A promising area of opportunity in this field is to improve the multimodal fusion mechanism. We present…
Multimodal Sentiment Analysis: Addressing Key Issues and Setting up the Baselines
Soujanya Poria, Navonil Majumder, Devamanyu Hazarika +3
We compile baselines, along with dataset split, for multimodal sentiment analysis. In this paper, we explore three different deep-learning based architectures for multimodal sentim…