Tokyo, Japan

Yiou Wang


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Yiou Wang in Question-Answering Systems

Introduction

Yiou Wang is a distinguished inventor based in Tokyo, Japan, known for his contributions to the field of information technology. With a focus on enhancing question-answering systems, his inventive spirit has led him to develop a significant patent aimed at improving precision in non-factoid questions.

Latest Patents

Wang holds a patent for a "Non-factoid question-answering system and computer program." This innovative system includes a candidate retrieving unit that extracts answer candidates from a corpus, a feature vector generating unit for creating features from question-answer combinations, and support vector machines (SVMs) trained to score the correctness of these combinations. The system's answer ranker unit outputs the highest-scoring candidate as the correct answer. The features are based on morphological analysis, parsing results, and semantic classification, marking a significant advancement in natural language processing.

Career Highlights

Yiou Wang is currently affiliated with the National Institute of Information and Communications Technology, Incorporated (NICT). His work is centered around developing cutting-edge technologies that address the complexities of human language understanding in computer systems. His expertise in this domain has positioned him as a prominent figure in his field.

Collaborations

Throughout his career, Wang has collaborated with notable colleagues, including Jonghoon Oh and Kentaro Torisawa. These partnerships have facilitated the exchange of ideas and fostered innovative research, further enhancing the capabilities of question-answering technologies.

Conclusion

Yiou Wang's contributions to the field of information technology, particularly through his patented non-factoid question-answering system, exemplify his role as an innovator. His work continues to influence advancements in natural language processing, paving the way for future breakthroughs in understanding human language within artificial intelligence.

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