Yingzhe Wang

Title: Innovations of Yingzhe Wang in Semantic Recognition

Introduction

Yingzhe Wang is a prominent inventor based in Beijing, China. He has made significant contributions to the field of semantic recognition, holding three patents that showcase his innovative approaches to technology. His work focuses on enhancing the capabilities of electronic devices through advanced semantic analysis methods.

Latest Patents

Yingzhe Wang's latest patents include a method, apparatus, electronic device, and storage medium for semantic recognition. This method involves performing semantic analysis on information acquired by a terminal, where a sentence to be processed is identified. Word recognition is conducted to obtain multiple words and their corresponding part-of-speech information. A target set update operation is determined using a word processing model, which calculates feature vectors and confidence levels for preset set update operations.

Another notable patent is a method and device for semantic analysis and storage medium. This invention involves acquiring sentence information at the terminal equipment side and extracting a part-of-speech label sequence from the text data. The legitimacy of the part-of-speech label sequence is detected, and if found illegitimate, it is corrected. The corrected sequence is then output as a result of part-of-speech labeling, determining the semantics corresponding to the sentence information.

Career Highlights

Yingzhe Wang is currently employed at Beijing Xiaomi Pinecone Electronics Co., Ltd., where he continues to develop innovative solutions in the realm of semantic recognition.