activity
20092021
most citedFakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media

215 citations · 491 across the 20 of their papers we have counts for

collaborators

20 papers

cs.SI2021

Information Operations in Turkey: Manufacturing Resilience with Free Twitter Accounts

Maya Merhi, Sarah Rajtmajer, Dongwon Lee

Following the 2016 US elections Twitter launched their Information Operations (IO) hub where they archive account activity connected to state linked information operations. In June…

cs.CL2021★ 4 cited

TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation

Adaku Uchendu, Zeyu Ma, Thai Le +2

Recent progress in generative language models has enabled machines to generate astonishingly realistic texts. While there are many legitimate applications of such models, there is…

cs.CL2021★ 14 cited

MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education

Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar +4

Since the introduction of the original BERT (i.e., BASE BERT), researchers have developed various customized BERT models with improved performance for specific domains and tasks by…

cs.LG2021★ 1 cited

Large-Scale Data-Driven Airline Market Influence Maximization

Duanshun Li, Jing Liu, Jinsung Jeon +4

We present a prediction-driven optimization framework to maximize the market influence in the US domestic air passenger transportation market by adjusting flight frequencies. At th…

cs.CL2021

Classifying Math KCs via Task-Adaptive Pre-Trained BERT

Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar +4

Educational content labeled with proper knowledge components (KCs) are particularly useful to teachers or content organizers. However, manually labeling educational content is labo…

cs.CL2021★ 1 cited

MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories

Minjin Choi, Sunkyung Lee, Eunseong Choi +4

Automated metaphor detection is a challenging task to identify metaphorical expressions of words in a sentence. To tackle this problem, we adopt pre-trained contextualized models,…