Abstract: SUMMARY Conveyor arrangement (1), comprising a terminal chute (11, 12, . . . ), adapted to the takeover a conveyed object (9), in particular a postal parcel (9), at a takeover area (A1), in particular from an upstream feed in device (7); for transferring the conveyed object (9) at a transfer area (A3), in particular at a terminal (4); for transmitting the conveyed object (9) in a chute area (A2) from the takeover area (A1) to the transfer area (A3), wherein the terminal chute is inclined downwardly in the conveying direction (F) so that the conveyed object (9) is conveyed in a gravitationally sliding manner, in particular comprising means for reducing damage to the conveyed material.

Abstract: An actuating unit (50) for a sorting device (10), the actuating unit (50) comprising a flap holder (60) and at least one flap (80, 80?) having a drive component (81, 81?) for transmitting a drive force to a drive wheel (32) of a transport unit (18), the flap (80, 80?) being displaceably mounted in the flap holder (60) between a resting position and a drive position, a movement limiting component (82) being provided on the flap (80, 80?), said movement limiting component cooperating with a movement limiting element (63), such that the displacement movement of the flap (80, 80?) is limited in the direction of the resting position and/or in the direction of the drive position. Sorting device (10) having such an actuating unit (50) and method for mounting such an actuating unit (50).

Abstract: A method for generating an natural language processing (NLP) model including obtaining tags, obtaining actions to be implemented by a third party application, obtaining a training corpus including sentences, where at least one word in each of the sentences is associated with one of the tags, and wherein each of the sentences is associated with one of the actions. The method further includes generating features for the NLP model for the third party application using the tags, the actions, and the training corpus, training the NLP model using the features and the training corpus to obtain a trained NLP model, and generating an APIKey for use by the third party application, where the API provides the third party application access to the trained NLP model.

Abstract: An actuating unit (50) for a sorting device (10), the actuating unit (50) comprising a flap holder (60) and at least one flap (80, 80?) having a drive component (81, 81?) for transmitting a drive force to a drive wheel (32) of a transport unit (18), the flap (80, 80?) being displaceably mounted in the flap holder (60) between a resting position and a drive position, a movement limiting component (82) being provided on the flap (80, 80?), said movement limiting component cooperating with a movement limiting element (63), such that the displacement movement of the flap (80, 80?) is limited in the direction of the resting position and/or in the direction of the drive position. Sorting device (10) having such an actuating unit (50) and method for mounting such an actuating unit (50).

Abstract: A method for generating an natural language processing (NLP) model including obtaining tags, obtaining actions to be implemented by a third party application, obtaining a training corpus including sentences, where at least one word in each of the sentences is associated with one of the tags, and wherein each of the sentences is associated with one of the actions. The method further includes generating features for the NLP model for the third party application using the tags, the actions, and the training corpus, training the NLP model using the features and the training corpus to obtain a trained NLP model, and generating an APIKey for use by the third party application, where the API provides the third party application access to the trained NLP model.