Abstract: Machine learning, artificial intelligence, and other computer-implemented methods are used to identify various semantically important chunks in documents, automatically label them with appropriate datatypes and semantic roles, and use this enhanced information to assist authors and to support downstream processes. Chunk locations, datatypes, and semantic roles can often be automatically determined from what is here called “context”, to wit, the combination of their formatting, structure, and content; those of adjacent or nearby content; overall patterns of occurrence in a document, and similarities of all these things across documents (mainly but not exclusively among documents in the same document set).

Abstract: A training magazine and safety system for a magazine-fed firearm are provided. The training magazine includes a safety block at a top of the magazine, configured to block the breach of the firearm and thus keep the bolt of the firearm locked to the rear such that the firearm is incapable of firing. The safety block can include a notch in a front portion thereof, which is configured to accommodate a chamber flag while the chamber flag is in the chamber of a firearm. As such, the chamber flag and training magazine can be used together as a safety system. Methods of training are also provided.

Abstract: A training magazine and safety system for a magazine-fed firearm are provided. The training magazine includes a safety block at a top of the magazine, configured to block the breach of the firearm and thus keep the bolt of the firearm locked to the rear such that the firearm is incapable of firing. The safety block can include a notch in a front portion thereof, which is configured to accommodate a chamber flag while the chamber flag is in the chamber of a firearm. As such, the chamber flag and training magazine can be used together as a safety system. Methods of training are also provided.