activity
20182022
most citedImproving Aspect-Level Sentiment Analysis with Aspect Extraction

3 citations · 6 across the 6 of their papers we have counts for

collaborators

15 papers

cs.CL2022

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…

cs.SI20221 cited

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…

cs.CL2020

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…

cs.CL2020

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…

cs.CL20202 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…