Abstract: The technology described herein receives a natural-language sequence of words comprising multiple entities. The technology then identifies a plurality of entities in the natural-language sequence. The technology generates a masked natural-language sequence by masking a first entity in the natural-language sequence. The technology retrieves, from a knowledge base, information related to a second entity in the plurality of entities. The technology then trains a natural-language model to respond to a query. The training uses a first representation of the masked natural-language sequence, a second representation of the information, and the first entity.

Abstract: The technology described herein receives a natural-language sequence of words comprising multiple entities. The technology then identifies a plurality of entities in the natural-language sequence. The technology generates a masked natural-language sequence by masking a first entity in the natural-language sequence. The technology retrieves, from a knowledge base, information related to a second entity in the plurality of entities. The technology then trains a natural-language model to respond to a query. The training uses a first representation of the masked natural-language sequence, a second representation of the information, and the first entity.

Abstract: A method for managing a supply chain which provides for mapping each demand and its respective source of supply. The method entails attaching a reservation between a demand and a supply. The reservation is updated as the status of the source of supply changes. As a result, the user has complete visibility for modeling the entire supply chain as material moves from one location to another.

Abstract: A novel rules engine which automates many warehouse processes, and provides for efficient management of a warehouse. The rules engine provides a flexible and customizable structure for modeling the many different types of processes governing the function of a warehouse. The rules engine translates business level logic into code for manipulating the warehouse database. The rules engine allows a user to create their own user logic for working with the database, which operates at a level of abstraction more feasible for the user. The rules engine understands the user logic by the way the user decides how to string various restrictions together. The rules engine implements the translation via its internal understanding of the structure of the particular application. Thus, the rules engine allows the user to define logic without understanding how to manipulate a database.

Abstract: A novel rules engine which automates many warehouse processes, and provides for efficient management of a warehouse. The rules engine provides a flexible and customizable structure for modeling the many different types of processes governing the function of a warehouse. The rules engine translates business level logic into code for manipulating the warehouse database. The rules engine allows a user to create their own user logic for working with the database, which operates at a level of abstraction more feasible for the user. The rules engine understands the user logic by the way the user decides how to string various restrictions together. The rules engine implements the translation via its internal understanding of the structure of the particular application. Thus, the rules engine allows the user to define logic without understanding how to manipulate a database.

Abstract: A novel rules engine which automates many warehouse processes, and provides for efficient management of a warehouse. The rules engine provides a flexible and customizable structure for modeling the many different types of processes governing the function of a warehouse. The rules engine translates business level logic into code for manipulating the warehouse database. The rules engine allows a user to create their own user logic for working with the database, which operates at a level of abstraction more feasible for the user. The rules engine understands the user logic by the way the user decides how to string various restrictions together. The rules engine implements the translation via its internal understanding of the structure of the particular application. Thus, the rules engine allows the user to define logic without understanding how to manipulate a database.

Abstract: A method for managing a supply chain which provides for mapping each demand and its respective source of supply. The method entails attaching a reservation between a demand and a supply. The reservation is updated as the status of the source of supply changes. As a result, the user has complete visibility for modeling the entire supply chain as material moves from one location to another.