Bucharest, Romania

Alexandru Mocanu

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Alexandru Mocanu

Introduction

Alexandru Mocanu is a notable inventor based in Bucharest, Romania. He has made significant contributions to the field of named entity recognition through his innovative patent. His work focuses on enhancing the scalability and accuracy of semantic relationships in document processing.

Latest Patents

Mocanu holds a patent for "Systems for context-aware named entity recognition." This invention aims to perform Named Entity Recognition (NER) operations that consider semantic relationships between entities and document text. The approach involves encoding entity text and document text separately, sometimes using different encoders. A cross-attention module is utilized to create weighted embeddings for each document embedding, which reflect the semantic relationships between the document text and the entities. This method allows for the determination of scores that represent the probability of an entity being referenced in a document, thereby improving the accuracy of NER operations.

Career Highlights

Alexandru Mocanu is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in the field of artificial intelligence and natural language processing. His expertise in named entity recognition has positioned him as a valuable asset in his organization.

Collaborations

Mocanu collaborates with Silviu Paun, contributing to advancements in their shared field of expertise. Their partnership enhances the research and development efforts at Amazon Technologies, Inc.

Conclusion

Alexandru Mocanu's work in named entity recognition exemplifies the impact of innovative thinking in technology. His patent and contributions to Amazon Technologies, Inc. highlight the importance of semantic understanding in document processing.

Profile summary based on public USPTO records.
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