research
∙
05/02/2023
KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness
In recent years, Pre-trained Language Models (PLMs) have shown their sup...
share
research
∙
07/17/2022
Extracting and Visualizing Wildlife Trafficking Events from Wildlife Trafficking Reports
Experts combating wildlife trafficking manually sift through articles ab...
research
∙
02/04/2021
Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection
The widespread of fake news and misinformation in various domains rangin...
research
∙
10/17/2020
HABERTOR: An Efficient and Effective Deep Hatespeech Detector
We present our HABERTOR model for detecting hatespeech in large scale us...
research
∙
10/10/2020
Hierarchical Evidence Set Modeling for Automated Fact Extraction and Verification
Automated fact extraction and verification is a challenging task that in...
research
∙
10/07/2020
Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News
Although many fact-checking systems have been developed in academia and ...
research
∙
08/31/2020
Quaternion-Based Self-Attentive Long Short-Term User Preference Encoding for Recommendation
Quaternion space has brought several benefits over the traditional Eucli...
research
∙
01/07/2020
Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation
To combat fake news, researchers mostly focused on detecting fake news a...
research
∙
10/05/2019
Learning from Fact-checkers: Analysis and Generation of Fact-checking Language
In fighting against fake news, many fact-checking systems comprised of h...
research
∙
06/08/2019
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation
In this paper, we aim to solve the automatic playlist continuation (APC)...
research
∙
05/01/2019
Signed Distance-based Deep Memory Recommender
Personalized recommendation algorithms learn a user's preference for an ...
research
∙
08/31/2018
Regularizing Matrix Factorization with User and Item Embeddings for Recommendation
Following recent successes in exploiting both latent factor and word emb...
research
∙
06/23/2018
MRAttractor: Detecting Communities from Large-Scale Graphs
Detecting groups of users, who have similar opinions, interests, or soci...
research
∙
06/20/2018
The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News
A large body of research work and efforts have been focused on detecting...
research
∙
10/12/2017