Learning Semantic Models and Grammar Rules of Building Parts

The Effects of Guided and Unguided Semantic Mapping on Iranian EFL Learners’ Vocabulary and Grammar Knowledge

Statistical relational learning of semantic models and grammar rules for 3D building reconstruction from 3D point clouds

Formal grammars are well suited for the estimation of models with an a-priori unknown number of parameters such as buildings and have proven their worth for 3D modeling and reconstruction of cities. However, the generation and design of corresponding grammar rules is a laborious task and relies on expert knowledge. This thesis presents novel approaches for the reduction of this e ort using adva...

Creating Algorithmic Symbols to Enhance Learning English Grammar

This paper introduces a set of English grammar symbols that the author has developed to enhance students’ understanding and consequently, application of the English grammar rules. A pretest-posttest control-group design was carried out in which the samples were students in two girls’ senior high schools (N=135, P ≤ 0.05) divided into two groups: the Treatment which received gramm...

Towards Complete LOD3 Models – Automatic Interpretation of Building Structures

The paper presents our work on the automatic reconstruction of complete LOD3 building models. Existing LOD2 models are refined by adding 3D façade geometry with explicit semantic information to the planar facades. Aiming at robust and realistic façade structures, independent of the quality and availabilty of sensor data, object knowledge in the form of a grammar is automatically inferred and ap...

Semantic Parsing with Combinatory Categorial Grammars

Semantic parsers map natural language sentences to formal representations of their underlying meaning. Building accurate semantic parsers without prohibitive engineering costs is a longstanding, open research problem. The tutorial will describe general principles for building semantic parsers. The presentation will be divided into two main parts: learning and modeling. In the learning part, we ...