Multiple userids identification with deep learning

X Du, S Chen, Z Liu, J Wang - Expert Systems with Applications, 2022 - Elsevier
People are becoming increasingly active on social media. It is common knowledge that most
users register more than one social media account. Some users use multiple accounts to …

Multi-granularity interaction model based on pinyins and radicals for Chinese semantic matching

P Zhao, W Lu, S Wang, X Peng, P Jian, H Wu, W Zhang - World Wide Web, 2022 - Springer
Semantic matching plays a critical role in many downstream tasks of natural language
processing. Existing semantic matching methods, which focus on learning sentence …

Siamese Interaction and Fine‐Tuning Representation of Chinese Semantic Matching Algorithm Based on RoBERTa‐wwm‐ext

B Qiang, G **, Y Wang, X Yang… - Mobile Information …, 2023 - Wiley Online Library
Semantic matching research is the cornerstone of research in the fields of natural language
similarity measurement and sensor ontology matching (OM). In the existing Chinese …

A Sentence-Matching Model Based on Multi-Granularity Contextual Key Semantic Interaction

J Li, Y Li - Applied Sciences, 2024 - mdpi.com
In the task of matching Chinese sentences, the key semantics within sentences and the
deep interaction between them significantly affect the matching performance. However …

Multi-perspective Text Matching Algorithm Based on Multi-granularity Feature Convolution

B Qiang, Z Guo, G **, S Guo, Y Wang, X Yang… - Proceedings of the …, 2023 - dl.acm.org
The core of Chinese text matching task lies in mining the deep semantic information inside
the text, exploring the semantic similarities and differences between different texts, and then …