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Evgeniy Gabrilovich
Researcher at Google
Publications - 142
Citations - 15992
Evgeniy Gabrilovich is an academic researcher from Google. The author has contributed to research in topics: Web search query & Web query classification. The author has an hindex of 44, co-authored 138 publications receiving 14453 citations. Previous affiliations of Evgeniy Gabrilovich include Technion – Israel Institute of Technology & Yahoo!.
Papers
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Proceedings Article
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
TL;DR: This work proposes Explicit Semantic Analysis (ESA), a novel method that represents the meaning of texts in a high-dimensional space of concepts derived from Wikipedia that results in substantial improvements in correlation of computed relatedness scores with human judgments.
Proceedings ArticleDOI
Knowledge vault: a web-scale approach to probabilistic knowledge fusion
Xin Dong,Evgeniy Gabrilovich,Geremy Heitz,Wilko Horn,Ni Lao,Kevin Murphy,Thomas Strohmann,Shaohua Sun,Wei Zhang +8 more
TL;DR: The Knowledge Vault is a Web-scale probabilistic knowledge base that combines extractions from Web content (obtained via analysis of text, tabular data, page structure, and human annotations) with prior knowledge derived from existing knowledge repositories that computes calibrated probabilities of fact correctness.
Journal Article
Placing search in context: the concept revisited.
Lev Finkelstein,Evgeniy Gabrilovich,Yossi Matias,Ehud Rivlin,Zach Solan,Gadi Wolfman,Eytan Ruppin +6 more
TL;DR: A new conceptual paradigm for performing search in context is presented, that largely automates the search process, providing even non-professional users with highly relevant results.
Journal ArticleDOI
A Review of Relational Machine Learning for Knowledge Graphs
TL;DR: This paper provides a review of how statistical models can be “trained” on large knowledge graphs, and then used to predict new facts about the world (which is equivalent to predicting new edges in the graph) and how such statistical models of graphs can be combined with text-based information extraction methods for automatically constructing knowledge graphs from the Web.
Proceedings ArticleDOI
Placing search in context: the concept revisited
Lev Finkelstein,Evgeniy Gabrilovich,Yossi Matias,Ehud Rivlin,Zach Solan,Gadi Wolfman,Eytan Ruppin +6 more
TL;DR: A new conceptual paradigm for performing search in context is presented, that largely automates the search process, providing even non-professional users with highly relevant results.