50 citations · 231 across the 22 of their papers we have counts for
8 papers · 1 filter
Extracting and Visualizing Wildlife Trafficking Events from Wildlife Trafficking Reports
Devin Coughlin, Maylee Gagnon, Victoria Grasso +5
Experts combating wildlife trafficking manually sift through articles about seizures and arrests, which is time consuming and make identifying trends difficult. We apply natural la…
Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News
Nguyen Vo, Kyumin Lee
Although many fact-checking systems have been developed in academia and industry, fake news is still proliferating on social media. These systems mostly focus on fact-checking but…
Quaternion-Based Self-Attentive Long Short-Term User Preference Encoding for Recommendation
Thanh Tran, Di You, Kyumin Lee
Quaternion space has brought several benefits over the traditional Euclidean space: Quaternions (i) consist of a real and three imaginary components, encouraging richer representat…
Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation
Di You, Nguyen Vo, Kyumin Lee +1
To combat fake news, researchers mostly focused on detecting fake news and journalists built and maintained fact-checking sites (e.g., Snopes.com and Politifact.com). However, fake…
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation
Thanh Tran, Renee Sweeney, Kyumin Lee
In this paper, we aim to solve the automatic playlist continuation (APC) problem by modeling complex interactions among users, playlists, and songs using only their interaction dat…
Signed Distance-based Deep Memory Recommender
Thanh Tran, Xinyue Liu, Kyumin Lee +1
Personalized recommendation algorithms learn a user's preference for an item by measuring a distance/similarity between them. However, some of the existing recommendation models (e…
Regularizing Matrix Factorization with User and Item Embeddings for Recommendation
Thanh Tran, Kyumin Lee, Yiming Liao +1
Following recent successes in exploiting both latent factor and word embedding models in recommendation, we propose a novel Regularized Multi-Embedding (RME) based recommendation m…
The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News
Nguyen Vo, Kyumin Lee
A large body of research work and efforts have been focused on detecting fake news and building online fact-check systems in order to debunk fake news as soon as possible. Despite…