Microsoft Technology Licensing, LLC

Maria Del Mar Gines Marin

Kathryn V J Sullivan

Ali Taleghani

Shikha Devesh Desai

Kevin Roland Powell

Domenic J Cipollone

Theresa Ann Estrada

Kylan Matthew Nieh

Tev'n J Powers

Michael Wilson Daniels

Amy Tremper

Dongmei Zhang

Christopher Michael Maloney

Robin Emily Wakefield

Jian-Guang Lou

Alfredo R Arnaiz

Yan Gao

Andrea Maria Jessee

Hany Grees Gerges

Maria Isabel Carpenter

Leah Joy Brown

Marion Kremer

Rebecca Poulson

Girdhar Beriwal

Kailas Lokhande

Rene J Valdes

Lei Fang

Yan Xiao

According to implementations of the subject matter described herein, a solution for semantic parsing of the natural language query is provided. In this solution, a first natural language query for a first data table is received, where the first natural language query comprises words. A first set of knowledge representations associated with the first data table are obtained and the first set of knowledge representations describe, in a structured manner, knowledge required for understanding a natural language query for the first data table. The first natural language query is converted into a first sequence of symbols. A first computer-executable query corresponding to the first natural language query is generated. According to this solution, various kinds of knowledge representations from different fields can be represented into universal structured knowledge representations, such that the knowledge representations are used to assist in understanding semantics of natural language queries and generating corresponding computer-executable queries.

Semantic parsing of natural language query

Systems and methods may be used to display document critiques on a display device. A method may include receiving information including a document type of a document. The method may include determining a set of critiques for use with the document type, the set of critiques including a critique specific to the document type. The method may include providing, on a display, feedback within the document, including a visual indication on a user interface presenting the document, based on the set of critiques, for text within the document.

Automatic document assistance based on document type

A system and method includes receiving content of an electronic document during a time the content is being entered into an electronic document by a user by via an electronic document editor application. A content characteristic is extracted from the content and transmitted to an online data source. A content item related to the content characteristic is received from the online data source. A user interface presents the content item concurrently with the electronic document editor application.

Electronic document supplementation with online social networking information

A system and method includes receiving content of an electronic document having a document type, the content divided into components each having a unique identifier and selecting an extraction schema based on the document type, the extraction schema having a plurality of data categories. For each of the components, the extraction schema is applied to identify content of the component that corresponds to individual ones of the data categories and saving, with the processor, in an electronic data storage, in a record associated with the component, category metadata indicative of content of the component corresponding to the data categories. In response to obtaining the category metadata for each of the components, applying the extraction schema to the content metadata of each of the components and to the electronic document as a whole to determine document metadata. A user interface displays the document metadata on the user interface.

Electronic document content extraction and document type determination

Non-limiting examples of the present disclosure describe transformation of content of a digital document on behalf of a user of an application/service. Examples describes herein extend to instances where an existing digital document (e.g. content portion) is transformed as well as examples where templatized transformations are used to create a digital document. As an example, content of a digital document may be converted into preset document format representations which are generated and suggested automatically to the user through a user interface of a productivity service or through an alternative modality (e.g. message, email, notification, etc.). This improves processing efficiency of computing devices associated with productivity services, for example, by enabling efficient digital document management through proactive contextual analysis, reducing the number of processing operations for users in real-time and reducing latency at run-time, among other examples.

Content based transformation for digital documents

A system and method includes receiving an electronic document having content divided into components and, for each of the components, comparing content of the component with component content characteristics of a classification schema associated with a document type and storing, in an electronic data storage, in a record associated with the component, indications of the component content characteristics of the classification schema that are included in the component. Document content characteristics of the classification schema are compared with the content of the electronic document and storing, in the electronic data storage, in a record for the electronic document, indications of the document content characteristics of the classification schema that are included in the electronic document. The electronic document is identified as the document type based on the content characteristics of the records meeting a document type criteria.

Electronic document content classification and document type determination

A suggestion service is disclosed herein that provides suggested diagrammatic representations of textual information in content. The suggestion service receives a request for a suggested diagrammatic representation of the textual information included in a content item. The suggestion service also identifies a layout for the suggested diagrammatic representation based on a type of the textual information. The suggestion service further produces the suggested diagrammatic representation of the textual information based on the layout. The suggestion service replies to the request with the suggested diagrammatic representation(s).

Providing suggested diagrammatic representations of user entered textual information

A system and method includes obtaining content extracted from an electronic document, the electronic document having a document type. At least some of the content is transmitted to an online social networking system based on the document type. A recommended content change is received from the online social networking system. A user interface dynamically displays the recommended content change concurrently with display of the electronic document as the electronic document is updated.

Electronic document content augmentation

A computer-readable medium stores a first lexicon data structure for lexicon words. The first data structure includes a host form variant field containing a host form variant such as a clitic host form variant, a host form field containing the host form of the host form variant (only present if the forms differ) such as a clitic host verbal form, and a verification field indicative of whether the host form variant is a valid word. The first data structure also includes a segment association field containing data or segmentation bits associating the host form variant with certain types of attachment entries in the lexicon, which also contain data or segmentation bits, to define valid combinations between the host form variant and at least one of the attachment entries in the lexicon. A second lexicon data structure for each of the attachment entries in the lexicon is also stored.

System and method for performing analysis on word variants

Growing community of inventors

Kirkland, WA, United States of America

Maria Del Mar Gines Marin