activity
20142024
most citedRegularizing Matrix Factorization with User and Item Embeddings for Recommendation

50 citations · 231 across the 22 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CL2020

HABERTOR: An Efficient and Effective Deep Hatespeech Detector

Thanh Tran, Yifan Hu, Changwei Hu +4

We present our HABERTOR model for detecting hatespeech in large scale user-generated content. Inspired by the recent success of the BERT model, we propose several modifications to…

cs.CL2020

Hierarchical Evidence Set Modeling for Automated Fact Extraction and Verification

Shyam Subramanian, Kyumin Lee

Automated fact extraction and verification is a challenging task that involves finding relevant evidence sentences from a reliable corpus to verify the truthfulness of a claim. Exi…

cs.IR2020★ 1 cited

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…

cs.IR2020★ 15 cited

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…

cs.IR2020

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…