This inventor holds 1 USPTO granted patent. Top assignee: National University of Defense Technology. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Haoen Huang: Innovator in Causal Relation Extraction
Introduction
Haoen Huang is a prominent inventor based in Changsha, China. He has made significant contributions to the field of causal relation extraction through his innovative methods and devices. His work focuses on enhancing the accuracy and efficiency of extracting causal relationships from text data.
Latest Patents
Haoen Huang holds a patent titled "Method and device for denoising causal relation extraction based on multi-task collaborative learning." This patent discloses a novel approach to causal relation extraction, specifically designed to improve the quality of extracted data. The method involves inputting a text to be processed into a task-sharing layer of a denoising causal relation extraction model for feature extraction. It further includes part-of-speech tagging, chunking analysis, and causal extraction tasks to obtain feature labels. The process also incorporates causal strength classification and representation learning, utilizing a gating generator for enhanced performance.
Career Highlights
Haoen Huang is affiliated with the National University of Defense Technology, where he continues to advance his research in causal relation extraction. His work has garnered attention for its innovative approach and practical applications in various fields.
Collaborations
Haoen Huang collaborates with Yijia Zhang, contributing to the development of advanced methodologies in their research endeavors.
Conclusion
Haoen Huang's contributions to the field of causal relation extraction exemplify the impact of innovative thinking in technology. His patent and ongoing research continue to pave the way for advancements in data processing and analysis.