3 papers
cs.CL2021
Measuring Linguistic Diversity During COVID-19
Jonathan Dunn, Tom Coupe, Benjamin Adams
Computational measures of linguistic diversity help us understand the linguistic landscape using digital language data. The contribution of this paper is to calibrate measures of l…
cs.CL2020
QA2Explanation: Generating and Evaluating Explanations for Question Answering Systems over Knowledge Graph
Saeedeh Shekarpour, Abhishek Nadgeri, Kuldeep Singh
In the era of Big Knowledge Graphs, Question Answering (QA) systems have reached a milestone in their performance and feasibility. However, their applicability, particularly in spe…
cs.CL2018
Self-Attention: A Better Building Block for Sentiment Analysis Neural Network Classifiers
Artaches Ambartsoumian, Fred Popowich
Sentiment Analysis has seen much progress in the past two decades. For the past few years, neural network approaches, primarily RNNs and CNNs, have been the most successful for thi…