Company Filing History:
Years Active: 2005-2013
Title: Owen Christopher Rambow: Innovator in Task Classification Systems
Introduction
Owen Christopher Rambow is a notable inventor based in Hoboken, NJ (US), recognized for his contributions to the field of task classification systems. With a total of 12 patents to his name, Rambow has made significant strides in automating communication processes between users and systems.
Latest Patents
Rambow's latest patents include innovations such as "Automated sentence planning in a task classification system." This invention discloses a task classification system that interacts with users by recognizing symbols in their input communication. The system features a natural language understanding unit that determines whether the user's input can be understood. If comprehensible, the system generates understanding data and communicative goals based on the recognized symbols. Additionally, it includes a sentence planning unit that automatically plans sentences based on these communicative goals, outputting at least one sentence plan to the user. Another patent, "Method for automated sentence planning in a task classification system," outlines a similar approach, emphasizing the recognition of symbols and the generation of communicative goals to facilitate user interaction.
Career Highlights
Throughout his career, Rambow has worked with prominent companies, including AT&T Intellectual Property L.P. and AT&T Corp. His experience in these organizations has contributed to his expertise in developing innovative solutions in the realm of task classification and communication systems.
Collaborations
Rambow has collaborated with notable professionals in his field, including Marilyn Ann Walker and Monica Rogati. These partnerships have likely enriched his work and expanded the impact of his inventions.
Conclusion
Owen Christopher Rambow's contributions to task classification systems demonstrate his innovative spirit and commitment to enhancing user interaction through technology. His patents reflect a deep understanding of natural language processing and automated communication, positioning him as a significant figure in the field.