Microsoft Technology Licensing, LLC

Other

Marius Bunescu

Arshish C Kapadia

Tarkan Sevilmis

Peter Adam Outcalt

Ryan Yandle

Dmitriy Meyerzon

John Michael Winn

Nikita Voronkov

John Guiver

Matteo Venanzi

Samuel Alexander Webster

Vladimir V Gvozdev

Alexander Armin Spengler

Thomas Minka

Pavel Myshkov

Ivan Korostelev

Anthony Arnold Wieser

Yordan Kirilov Zaykov

Elena Pochernina

Sanil Rajput

In various examples there is a computer-implemented method of database construction. The method comprises storing a knowledge graph comprising nodes connected by edges, each node representing a topic. Accessing a topic type hierarchy comprising a plurality of types of topics, the topic type hierarchy having been computed from a corpus of text documents. One or more text documents are accessed and the method involves labelling a plurality of the nodes with one or more labels, each label denoting a topic type from the topic type hierarchy, by, using a deep language model; or for an individual one of the nodes representing a given topic, searching the accessed text documents for matches to at least one template, the template being a sequence of words and containing the given topic and a placeholder for a topic type; and storing the knowledge graph comprising the plurality of labelled nodes.

Knowledge base with type discovery

An intelligent conflict detection system. The system provides semantic expression of edits and history-aware conflict detection in a large-scale service allowing multiple users to simultaneously work with the same document, which may result in conflicting edits. When submitted, changes to a version of a document are compared to all versions of the document created since the document was sourced. Edits to documents are expressed as intents describing the changes in terms of an action and object of that action based on a characteristic of the data being edited. Comparing the intent of current edits against the historical intent of the edits made in prior versions originating from the same source document allows the system to intelligently assess whether the edits are in conflict. History-aware semantic analysis results in users being prompted less frequently to resolve conflicts, which improves the user experience.

Intelligent conflict detection and semantic expression of document edits

Growing community of inventors

Redmond, WA, United States of America

Marius Bunescu