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公开(公告)号:US20200090034A1
公开(公告)日:2020-03-19
申请号:US16134959
申请日:2018-09-18
Applicant: salesforce.com, inc.
Inventor: Govardana Sachithanandam RAMACHANDRAN , Shashank HARINATH , Abhishek SHARMA , Jean-Marc SOUMET , Michael MACHADO , Bryan MCCANN
Abstract: For a database system accessible by one or more users, a neural network model and related method are provided that allow a user of the database system to provide unstructured input in the form of a verbal or textual narrative or utterance that expresses the information in a language and manner that is more comfortable for the user. A portion of the narrative or utterance may relate to one or action items that the user intends to be taken with respect to the database system, such as creating, updating, modifying, or deleting a database item (e.g., contact, calendar item, deal, etc.). The neural model processes the unstructured input (narrative or utterance) and determines or classifies the intent with respect to the action item for the database.
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公开(公告)号:US20170316361A1
公开(公告)日:2017-11-02
申请号:US15143219
申请日:2016-04-29
Applicant: salesforce.com, inc.
CPC classification number: G06Q10/06313 , G06F16/9024 , G06F16/9535
Abstract: Associating job responsibilities with job titles is described. A database system identifies a job level and a job department associated with a job title stored by an object. The database system identifies level-based job responsibilities associated with the job level. The database system identifies department-based job responsibilities associated with the job department. The database system identifies at least one job responsibility associated with the job title based on the level-based job responsibilities and the department-based job responsibilities. The database system stores each identified job responsibility in metadata and/or a field associated with the object. The database system outputs a message based on the object to a user device, in response to a search that specifies any identified job responsibility.
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公开(公告)号:US20200090033A1
公开(公告)日:2020-03-19
申请号:US16134957
申请日:2018-09-18
Applicant: salesforce.com, inc.
Inventor: Govardana Sachithanandam RAMACHANDRAN , Michael MACHADO , Shashank HARINATH , Linwei ZHU , Yufan XUE , Abhishek SHARMA , Jean-Marc SOUMET , Bryan MCCANN
Abstract: A method for natural language processing includes receiving, by one or more processors, an unstructured text input. An entity classifier is used to identify entities in the unstructured text input. The identifying the entities includes generating, using a plurality of sub-classifiers of a hierarchical neural network classifier of the entity classifier, a plurality of lower-level entity identifications associated with the unstructured text input. The identifying the entities further includes generating, using a combiner of the hierarchical neural network classifier, a plurality of higher-level entity identifications associated with the unstructured text input based on the plurality of lower-level entity identifications. Identified entities are provided based on the plurality of higher-level entity identifications.
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公开(公告)号:US20170060919A1
公开(公告)日:2017-03-02
申请号:US14840547
申请日:2015-08-31
Applicant: salesforce.com, inc.
Inventor: Govardana Sachithanandam RAMACHANDRAN , Arun Kumar JAGOTA , Kishore Kumar KONETI , Pawan NACHNANI
IPC: G06F17/30
Abstract: Transforming columns from source files to target files is described. A system associates a source column in a source file with an entity of multiple entities associated with target columns comprising a target file, based on a first set of features that describes contents of cells of a first source column that is adjacent to the source column, a second set of features that describes contents of cells of a second source column that is adjacent to the source column, and a third set of features that describes contents of cells of the source column. The system creates a mapping of the source column to a target column associated with the entity, and transforms the mapped source column to the target column in accord with the mapping.
Abstract translation: 描述从源文件到目标文件的列转换。 基于描述与源列相邻的第一源列的单元的内容的第一组特征,系统将源文件中的源列与与包括目标文件的目标列相关联的多个实体的实体相关联, 描述与源列相邻的第二源列的单元的内容的第二组特征,以及描述源列的单元的内容的第三组特征。 系统创建源列到与实体关联的目标列的映射,并根据映射将映射的源列转换为目标列。
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