Company Filing History:
Years Active: 2022-2025
Title: Udit Sharma: Innovator in Knowledge Induction and Temporal Information Extraction
Introduction
Udit Sharma is a prominent inventor based in New Delhi, India. He has made significant contributions to the fields of knowledge induction and information extraction, holding a total of 5 patents. His work focuses on enhancing the capabilities of systems to process and understand natural language queries.
Latest Patents
One of Udit's latest patents is titled "Question answering via tailored knowledge induction." This invention provides systems and techniques that facilitate question answering by accessing natural language questions and identifying answers based on a tailored knowledge graph. The graph is iteratively generated from a set of structured sub-queries associated with the natural language question.
Another notable patent is "Extracting query-related temporal information from unstructured text documents." This method involves obtaining user queries with temporal components and converting them into logic form representations. The system maps these representations to unstructured text data sources, extracting relevant temporal information and generating responses based on the findings.
Career Highlights
Udit Sharma is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and develop advanced technologies. His work at IBM has allowed him to explore various aspects of artificial intelligence and natural language processing.
Collaborations
Udit has collaborated with notable colleagues, including Hima Prasad Karanam and L Venkata Subramaniam. These collaborations have contributed to the advancement of his research and the successful development of his patented technologies.
Conclusion
Udit Sharma is a distinguished inventor whose work in knowledge induction and temporal information extraction has made a significant impact in the field of artificial intelligence. His innovative patents and contributions to IBM highlight his dedication to advancing technology and improving user interactions with complex data systems.
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