Company Filing History:
Years Active: 2020-2025
Title: Henry Forrest Leanna Wallace: Innovator in Entity Relationship Search
Introduction
Henry Forrest Leanna Wallace is a notable inventor based in Cambridge, MA (US). He holds a total of 6 patents that showcase his contributions to the field of entity relationship search and data processing. His innovative work has significantly impacted how relationships between entities are identified and analyzed.
Latest Patents
One of his latest patents is titled "Multi-hop search for entity relationships." This invention allows for an unsupervised multi-hop search across a corpus of documents, enabling the identification of relationships between two entities even when they are not co-mentioned within any documents. The search utilizes a beam search algorithm anchored by word embeddings and an A* graph traversal to calculate semantic distance between entities. Another significant patent is "Stable identification of entity mentions." This platform stores a database of entity mentions and related information obtained from processing text in various documents. It analyzes changes to previously processed documents to align mentions and identify new ones, thus facilitating sustained use of knowledge graphs linked to specific entity mentions.
Career Highlights
Henry has worked with prominent companies such as Salesforce, Inc. and Salesforce Com, Inc. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects that leverage data analysis and entity recognition.
Collaborations
Henry has collaborated with talented individuals such as Aaron Michael Taylor and Andrew Richard Gallant. These partnerships have fostered a creative environment that has led to the development of groundbreaking technologies.
Conclusion
Henry Forrest Leanna Wallace is a distinguished inventor whose work in entity relationship search has made a lasting impact on data processing and analysis. His patents reflect a commitment to innovation and a deep understanding of the complexities involved in entity recognition.