Yu Keung Ng

Title: Innovations of Yu Keung Ng

Introduction

Yu Keung Ng is a notable inventor based in Hong Kong, CN. He has made significant contributions to the field of natural language processing (NLP) through his innovative patents. With a total of 2 patents, Ng has developed methods that enhance the efficiency and effectiveness of text summarization and image recognition.

Latest Patents

One of Yu Keung Ng's latest patents is titled "Method of summarizing text with sentence extraction." This method involves extracting sentences from a document using a natural language processing-based feature extractor. The process generates a word vector set for each sentence, which is then used to create n-grams and phrase-n vector sets. By computing similarity scores between these sets, Ng's method effectively selects text features to produce a concise summary of the document.

Another significant patent is "Apparatus and method for applying image encoding recognition in natural language processing." This invention outlines a method for utilizing image encoding recognition in NLP tasks. It includes extracting sentences from textual sources and generating word vectors, which are transformed into feature vectors. These feature vectors are then converted into a set of two-dimensional images for analysis by a neural network, facilitating image recognition in the context of sentence analysis.

Career Highlights

Yu Keung Ng is currently employed at the Hong Kong Applied Science and Technology Research Institute. His work at this esteemed institution allows him to collaborate with other experts in the field and contribute to cutting-edge research in technology and innovation.

Collaborations

Some of his notable coworkers include Yang Liu and Zhi Bin Lei. Their collaborative efforts in research and development have further advanced the projects they are involved in.

Conclusion

Yu Keung Ng's innovative patents in natural language processing demonstrate his expertise and commitment to advancing technology. His contributions are paving the way for more efficient methods in text summarization and image recognition.