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Multiple userids identification with deep learning
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 …
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
Semantic matching plays a critical role in many downstream tasks of natural language
processing. Existing semantic matching methods, which focus on learning sentence …
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 …
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 …
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 …
the text, exploring the semantic similarities and differences between different texts, and then …