Company Filing History:
Years Active: 2025
Title: Koren Ran Lazar: Innovator in Semantic Representation Technology
Introduction
Koren Ran Lazar is a prominent inventor based in Jerusalem, Israel. She has made significant contributions to the field of semantic representation through her innovative patent. Her work focuses on enhancing the understanding of texts by utilizing advanced language models.
Latest Patents
Koren Ran Lazar holds a patent titled "Identifying a semantic representation for texts by expanding the embedding space." This invention describes a computer-implemented method, system, and computer program product for identifying a semantic representation for a set of texts. The process involves encoding texts using a language model to obtain contextualized embeddings. A centroid of these embeddings is calculated, and a user-designated number of words from a predefined vocabulary are identified based on their proximity to the centroid. The method further includes calculating permutations of these identified words and encoding them in a contextualized manner. Ultimately, the encoded permutation that exhibits the greatest similarity to the centroid is designated as the semantic representation of the set of texts. This innovative approach effectively expands the embedding space, leading to improved semantic representation identification.
Career Highlights
Koren is currently associated with International Business Machines Corporation, commonly known as IBM. Her role at IBM allows her to leverage her expertise in language models and semantic technologies to drive innovation in the field.
Collaborations
Koren has collaborated with notable colleagues, including Matan Vetzler and Boaz Carmeli. These collaborations have contributed to the advancement of her research and the development of her patent.
Conclusion
Koren Ran Lazar is a trailblazer in the realm of semantic representation technology, with her innovative patent showcasing her expertise and dedication to advancing the field. Her contributions continue to influence the way texts are understood and processed in the digital age.
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