activity
20172024
most citedSatirical News Detection and Analysis using Attention Mechanism and Linguistic Features

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion

Meng Zheng, Benjamin Planche, Xuan Gong +3

3D patient body modeling is critical to the success of automated patient positioning for smart medical scanning and operating rooms. Existing CNN-based end-to-end patient modeling…

cs.IR2023

A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction

Fan Yang, Mian Zhang, Gongzhen Hu +1

Aspect Sentiment Triplet Extraction (ASTE) aims to extract the triplet of an aspect term, an opinion term, and their corresponding sentiment polarity from the review texts. Due to…

cs.CL2021

Opinion Prediction with User Fingerprinting

Kishore Tumarada, Yifan Zhang, Fan Yang +3

Opinion prediction is an emerging research area with diverse real-world applications, such as market research and situational awareness. We identify two lines of approaches to the…

cs.CL2021

Improving Authorship Verification using Linguistic Divergence

Yifan Zhang, Dainis Boumber, Marjan Hosseinia +2

We propose an unsupervised solution to the Authorship Verification task that utilizes pre-trained deep language models to compute a new metric called DV-Distance. The proposed metr…

cs.CL2017★ 5 cited

Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features

Fan Yang, Arjun Mukherjee, Eduard Dragut

Satirical news is considered to be entertainment, but it is potentially deceptive and harmful. Despite the embedded genre in the article, not everyone can recognize the satirical c…