Company Filing History:
Years Active: 2016-2017
Title: Innovations by Fernando Carlos das Neves Pereira: A Spotlight on Entity Resolution
Introduction
Fernando Carlos das Neves Pereira is an innovative inventor based in Palo Alto, California. With a remarkable record of two patents, Pereira has made significant contributions to the field of entity resolution through advanced computational techniques.
Latest Patents
Pereira's latest patents focus on enhancing entity disambiguation processes. The first patent describes a system and method using an additive context model for entity resolution. This invention involves receiving a span of text from a document and utilizing a phrase vector with various features that represents context for the span. The process determines a number of candidate entities from a knowledge base and computes a support score for each candidate entity. The span is resolved to the candidate entity with the highest probability based on the support scores.
The second patent delves into iteratively learning coreference embeddings of noun phrases. It involves methods and apparatus that utilize distributed word representations to determine coreference resolution. By identifying syntactic and semantic features in noun phrases, the invention enhances the accuracy of resolving coreference through learned embeddings and distance measures between noun phrases.
Career Highlights
Fernando is currently employed at Google Inc., where he continues to develop innovative solutions that leverage his expertise in natural language processing. His work significantly impacts how entities are resolved in complex text and language structures.
Collaborations
Pereira collaborates with talented coworkers, including Amarnag Subramanya and Jingyi Liu. Together, they contribute to advancing the understanding and implementation of entity resolution technologies at Google Inc.
Conclusion
Fernando Carlos das Neves Pereira stands out as a pioneering inventor in the realm of entity resolution. Through his innovative patents, he is shaping the future of natural language processing and entity disambiguation, making significant strides in the technology landscape. His work not only benefits his company but also holds the potential for broader applications across various industries.
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