This inventor holds 1 USPTO granted patent. Top assignee: Yutou Technology (Hangzhou) Co., Ltd.. Active years: 2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021
Title: Innovations of Jiansong Chen in Natural Language Processing
Introduction
Jiansong Chen is a notable inventor based in Hangzhou, China. He has made significant contributions to the field of natural language processing, particularly in the area of sentence similarity determination. His innovative approach addresses challenges faced in the calculation of sentence similarity, enhancing the accuracy and efficiency of this process.
Latest Patents
Jiansong Chen holds a patent titled "Method for determining sentence similarity." This invention provides a systematic method for evaluating the similarity between two sentences. The process involves obtaining character/word vector matrices for each sentence, extracting overlapped features, and utilizing neural network models to compute a similarity metric. This method improves upon previous techniques by reducing dependency on pre-trained character/word vectors and unregistered words, thus enhancing the measurement of sentence similarity.
Career Highlights
Jiansong Chen is currently associated with Yutou Technology (Hangzhou) Co., Ltd. His work at this company focuses on advancing technologies in natural language processing. His innovative contributions have positioned him as a key figure in the development of effective solutions for language-related challenges.
Collaborations
Jiansong Chen collaborates with Lei Shen, a coworker at Yutou Technology. Their partnership fosters a creative environment that encourages the development of cutting-edge technologies in their field.
Conclusion
Jiansong Chen's work in natural language processing, particularly his patent on sentence similarity determination, showcases his innovative spirit and dedication to improving technology. His contributions are paving the way for advancements in how machines understand and process human language.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile