Search Results for author: Farahnaz Akrami

Found 3 papers, 2 papers with code

A Dashboard for Mitigating the COVID-19 Misinfodemic

no code implementations EACL 2021 Zhengyuan Zhu, Kevin Meng, Josue Caraballo, Israa Jaradat, Xiao Shi, Zeyu Zhang, Farahnaz Akrami, Haojin Liao, Fatma Arslan, Damian Jimenez, Mohanmmed Samiul Saeef, Paras Pathak, Chengkai Li

This paper describes the current milestones achieved in our ongoing project that aims to understand the surveillance of, impact of and intervention on COVID-19 misinfodemic on Twitter.

Misinformation

Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study

1 code implementation18 Mar 2020 Farahnaz Akrami, Mohammed Samiul Saeef, Qingheng Zhang, Wei Hu, Chengkai Li

A more fundamental defect of these models is that the link prediction scenario, given such data, is non-existent in the real-world.

Knowledge Graph Completion Link Prediction

A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs

1 code implementation10 Mar 2020 Zequn Sun, Qingheng Zhang, Wei Hu, Chengming Wang, Muhao Chen, Farahnaz Akrami, Chengkai Li

Recent advancement in KG embedding impels the advent of embedding-based entity alignment, which encodes entities in a continuous embedding space and measures entity similarities based on the learned embeddings.

Entity Alignment Knowledge Graphs

Cannot find the paper you are looking for? You can Submit a new open access paper.