activity
20212024
most citedSocial Engineering in Cybersecurity: A Domain Ontology and Knowledge Graph Application Examples

54 citations · 58 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2024★ 1 cited

Hybrid Multi-stage Decoding for Few-shot NER with Entity-aware Contrastive Learning

Congying Liu, Gaosheng Wang, Peipei Liu +2

Few-shot named entity recognition can identify new types of named entities based on a few labeled examples. Previous methods employing token-level or span-level metric learning suf…

cs.CL2023

Hierarchical Aligned Multimodal Learning for NER on Tweet Posts

Peipei Liu, Hong Li, Yimo Ren +4

Mining structured knowledge from tweets using named entity recognition (NER) can be beneficial for many down stream applications such as recommendation and intention understanding.…

cs.CV2022★ 3 cited

Multi-Granularity Cross-Modality Representation Learning for Named Entity Recognition on Social Media

Peipei Liu, Gaosheng Wang, Hong Li +4

Named Entity Recognition (NER) on social media refers to discovering and classifying entities from unstructured free-form content, and it plays an important role for various applic…

cs.CL2022

CEntRE: A paragraph-level Chinese dataset for Relation Extraction among Enterprises

Peipei Liu, Hong Li, Zhiyu Wang +5

Enterprise relation extraction aims to detect pairs of enterprise entities and identify the business relations between them from unstructured or semi-structured text data, and it i…

cs.MM2022

Improving the Modality Representation with Multi-View Contrastive Learning for Multimodal Sentiment Analysis

Peipei Liu, Xin Zheng, Hong Li +4

Modality representation learning is an important problem for multimodal sentiment analysis (MSA), since the highly distinguishable representations can contribute to improving the a…

cs.CR2022

Multi-features based Semantic Augmentation Networks for Named Entity Recognition in Threat Intelligence

Peipei Liu, Hong Li, Zuoguang Wang +3

Extracting cybersecurity entities such as attackers and vulnerabilities from unstructured network texts is an important part of security analysis. However, the sparsity of intellig…

cs.CR2021★ 54 cited

Social Engineering in Cybersecurity: A Domain Ontology and Knowledge Graph Application Examples

Zuoguang Wang, Hongsong Zhu, Peipei Liu +1

Social engineering has posed a serious threat to cyberspace security. To protect against social engineering attacks, a fundamental work is to know what constitutes social engineeri…