Noida, India

Arpit Katiyar

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Oracle International Corporation. Active years: 2026.

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Arpit Katiyar: Innovator in Natural Language Processing

Introduction

Arpit Katiyar is a prominent inventor based in Noida, India. He has made significant contributions to the field of natural language processing (NLP) through his innovative patent. His work focuses on enhancing machine learning techniques for various NLP tasks, showcasing his expertise and dedication to advancing technology.

Latest Patents

Arpit Katiyar holds a patent titled "Multi-task learning for natural language processing tasks using a shared pre-trained language model." This patent discloses machine learning techniques aimed at training a model for the combined learning of multiple NLP tasks. The tasks include named entity recognition (NER), relation extraction (RE), and assertion detection (AD). The machine learning model is designed as a multi-layer transformer model. The training process involves either sequential or concurrent training of the NER, RE, and AD modules, enabling the model to predict entities, their types, and relationships in newly provided text.

Career Highlights

Arpit Katiyar is currently employed at Oracle International Corporation, where he continues to apply his skills in machine learning and NLP. His work at Oracle allows him to collaborate with other talented professionals in the field, further enhancing his contributions to technology.

Collaborations

Some of Arpit's coworkers include Suman Roy and Srijon Sarkar. Their collaboration fosters a creative environment that encourages innovation and the development of cutting-edge solutions in the tech industry.

Conclusion

Arpit Katiyar is a notable inventor whose work in natural language processing is paving the way for advancements in machine learning. His patent reflects his commitment to innovation and his ability to tackle complex challenges in the field.

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