Automatic Comprehension of Geometry Problems using AMR Parser (S)

Abstract

Automatic comprehension of geometry problems described in natural language is a crucial and challenging stage of numerous automatic geometry problem solvers. These systems should comprehend the existing information in natural language geometry problems with the purpose to extract the geometric relationships between elements and to accomplish automatic solutions using intelligent methods. Abstract Meaning Representation is a popular framework for annotating whole sentence meaning. This paper proposes the addition of a new feature to an existing transition-based AMR parser that constructs AMR graphs from statement of geometry problems described in English language. The new feature consists in explicit embedding of the coreference detection into the parser. Integrating the automatic comprehension method with different geometry systems will greatly enhance the efficiency and intelligence in automatic solving. This approach shows improvements over the best previously published systems for extract information from statement of geometry problems described in English language.

Integration of Virtual Reality in the Control System of an Innovative Medical Robot for Single-Incision Laparoscopic Surgery

“…Starting from the functionalities presented in the use case diagram, five classes were designed and implemented, between which there are composition relations. The UML class diagram [ 47 , 48 ] represented in Figure 11 presents these five classes, the relation between them, and the used C# standard packages. These five classes are as follows: GUI class: enables the user to interact with the C# application.…”