activity
20152022
most citedKeyphrase Extraction from Disaster-related Tweets

34 citations · 83 across the 9 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL20221 cited

Hierarchical Multi-Label Classification of Scientific Documents

Mobashir Sadat, Cornelia Caragea

Automatic topic classification has been studied extensively to assist managing and indexing scientific documents in a digital collection. With the large number of topics being avai…

cs.CL2021

DeepZensols: Deep Natural Language Processing Framework

Paul Landes, Barbara Di Eugenio, Cornelia Caragea

Reproducing results in publications by distributing publicly available source code is becoming ever more popular. Given the difficulty of reproducing machine learning (ML) experime…

cs.CL20212 cited

Modeling Hierarchical Structures with Continuous Recursive Neural Networks

Jishnu Ray Chowdhury, Cornelia Caragea

Recursive Neural Networks (RvNNs), which compose sequences according to their underlying hierarchical syntactic structure, have performed well in several natural language processin…

cs.CL2020

Detecting Perceived Emotions in Hurricane Disasters

Shrey Desai, Cornelia Caragea, Junyi Jessy Li

Natural disasters (e.g., hurricanes) affect millions of people each year, causing widespread destruction in their wake. People have recently taken to social media websites (e.g., T…

cs.CL20153 cited

Entity-Specific Sentiment Classification of Yahoo News Comments

Prakhar Biyani, Cornelia Caragea, Narayan Bhamidipati

Sentiment classification is widely used for product reviews and in online social media such as forums, Twitter, and blogs. However, the problem of classifying the sentiment of user…