Abstract: Methods, apparatuses, and systems are presented for generating natural language models using a novel system architecture for feature extraction. A method for extracting features for natural language processing comprises: accessing one or more tokens generated from a document to be processed; receiving one or more feature types defined by user; receiving selection of one or more feature types from a plurality of system-defined and user-defined feature types, wherein each feature type comprises one or more rules for generating features; receiving one or more parameters for the selected feature types, wherein the one or more rules for generating features are defined at least in part by the parameters; generating features associated with the document to be processed based on the selected feature types and the received parameters; and outputting the generated features in a format common among all feature types.

Abstract: The present disclosure is directed to a nonwoven wiper having an oil capacity greater than about 500 percent by weight of oil to the weight of the web. The wiper includes a nonwoven web of fibers having at least one raised surface area which area has an aperture through the web. The fibers generally adjacent the aperture are substantially unconsolidated, i.e., not compacted together or fused.The disclosure also deals with a method of forming such a nonwoven wiper. The method includes the steps of: a) providing a nonwoven web; b) providing a nip roller arrangement including a first roller having a plurality of unheated pins and a second roller having a plurality of corresponding orifices; and c) passing the web through the nip roller arrangement to form a plurality of raised surface areas on the web with each of the surface areas defining an aperture where the fibers generally adjacent the aperture are substantially unconsolidated.