Augmented transition network
Semantic Scholar uses AI to extract papers important to this topic.
Multiple different approaches of generating adversarial examples have been proposed to attack deep neural networks. These… Expand This paper presents a grammar for books and journals using augmented transition networks in automated document analysis. The… Expand An abstract semantic model called the augmented transition network (ATN), which can model video data and user interactions, is… Expand Books reviewed in the AJCL will be those of interest to computat ional linguists; books in closely related disciplines may also… Expand The augmented transition network (ATN) is a formalism for writing parsing grammars that has been much used in Artificial… Expand Abstract A ciear and powerful formalism for describing languages, both natural and artificial, follows from a method for… Expand The augmented transition network (ATN) is a formalism for writing parsing grammars that has been much used in Artificial… Expand LAS is a program that acquires augmented transition network (ATN) grammars. It requires as data sentences of the language and… Expand This paper describes the operation of an augmented recursive transition network parser and demonstrates the natural way in which… Expand The use of augmented transition network grammars for the analysis of natural language sentences is described. Structure-building… Expand