Search Results for author:
Found 9 papers, 0 papers with code
Generating and Modifying Natural Language Explanations
HESIP is a hybrid explanation system for image predictions that combines sub-symbolic and symbolic machine learning techniques to explain the predictions of image classification tasks.
CNL-ER: A Controlled Natural Language for Specifying and Verbalising Entity Relationship Models
The first step towards designing an information system is conceptual modelling where domain experts and knowledge engineers identify the necessary information together to build an information system.
Specifying Conceptual Models Using Restricted Natural Language
The key activity to design an information system is conceptual modelling which brings out and describes the general knowledge that is required to build a system.
Specifying and Verbalising Answer Set Programs in Controlled Natural Language
Without modifications, the generated specification is always semantically equivalent to the original one; our bi-directional grammar is the first one that allows for semantic round-tripping in the context of controlled natural language processing.
Controlled Natural Language Processing as Answer Set Programming: an Experiment
Most controlled natural languages (CNLs) are processed with the help of a pipeline architecture that relies on different software components.
Architecture of a Web-based Predictive Editor for Controlled Natural Language Processing
In this paper, we describe the architecture of a web-based predictive text editor being developed for the controlled natural language PENG$^{ASP)$.
