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Rich Event Modeling for Script Event Prediction
Long Bai, Saiping Guan, Zixuan Li +3
Script is a kind of structured knowledge extracted from texts, which contains a sequence of events. Based on such knowledge, script event prediction aims to predict the subsequent…
Visual Named Entity Linking: A New Dataset and A Baseline
Wenxiang Sun, Yixing Fan, Jiafeng Guo +2
Visual Entity Linking (VEL) is a task to link regions of images with their corresponding entities in Knowledge Bases (KBs), which is beneficial for many computer vision tasks such…
LegoNet: A Fast and Exact Unlearning Architecture
Sihao Yu, Fei Sun, Jiafeng Guo +2
Machine unlearning aims to erase the impact of specific training samples upon deleted requests from a trained model. Re-training the model on the retained data after deletion is an…
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning
Zixuan Li, Zhongni Hou, Saiping Guan +7
A Temporal Knowledge Graph (TKG) is a sequence of KGs with respective timestamps, which adopts quadruples in the form of (\emph{subject}, \emph{relation}, \emph{object}, \emph{time…
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models
Chen Wu, Ruqing Zhang, Jiafeng Guo +4
Neural ranking models (NRMs) have achieved promising results in information retrieval. NRMs have also been shown to be vulnerable to adversarial examples. A typical Word Substituti…
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models
Yinqiong Cai, Jiafeng Guo, Yixing Fan +3
Neural ranking models (NRMs) have become one of the most important techniques in information retrieval (IR). Due to the limitation of relevance labels, the training of NRMs heavily…