The automatic generation of natural language messages (or NLG) has been em-ployed in many computer systems and for various purposes, which go from pro-viding information on a particular subject, to instructing on how to perform some-complex- action, to arguing about a particular claim (for an overview
A dataset intended for fully trainable natural language generation (NLG) systems in task-oriented sp...
This project has two components, the Natural Language Generation (NLG) Engine and the Web App Editor...
Natural language generation is a broad field, given the wide variety of different applications for t...
1) Natural Language Generation (NLG) Systems which take information from some database and figure ou...
Natural Language Generation (NLG) is defined as the systematic approach for producing human understa...
This chapter is about natural language texts generated automatically. We will discuss the motivation...
In this paper, we are discussing the basic concepts and fundamentals of Natural Language Generation,...
Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often c...
Natural Language Generation (NLG) is the process of generating natural language text from an input, ...
This book constitutes the refereed proceedings of the Third International Conference on Natural Lang...
This work was supported by the EPSRC grant ‘Affecting people with natural language’ (EP/E011764/1) a...
One major aim of research in affective natural language generation is to be able to use language int...
Natural Language Generation is a field evolved from a computational linguistic, the discipline conce...
As the development of computer technology and Internet use, system utterance producing gains more an...
We present a framework for handling emotional variations in a speech-based natural language system f...
A dataset intended for fully trainable natural language generation (NLG) systems in task-oriented sp...
This project has two components, the Natural Language Generation (NLG) Engine and the Web App Editor...
Natural language generation is a broad field, given the wide variety of different applications for t...
1) Natural Language Generation (NLG) Systems which take information from some database and figure ou...
Natural Language Generation (NLG) is defined as the systematic approach for producing human understa...
This chapter is about natural language texts generated automatically. We will discuss the motivation...
In this paper, we are discussing the basic concepts and fundamentals of Natural Language Generation,...
Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often c...
Natural Language Generation (NLG) is the process of generating natural language text from an input, ...
This book constitutes the refereed proceedings of the Third International Conference on Natural Lang...
This work was supported by the EPSRC grant ‘Affecting people with natural language’ (EP/E011764/1) a...
One major aim of research in affective natural language generation is to be able to use language int...
Natural Language Generation is a field evolved from a computational linguistic, the discipline conce...
As the development of computer technology and Internet use, system utterance producing gains more an...
We present a framework for handling emotional variations in a speech-based natural language system f...
A dataset intended for fully trainable natural language generation (NLG) systems in task-oriented sp...
This project has two components, the Natural Language Generation (NLG) Engine and the Web App Editor...
Natural language generation is a broad field, given the wide variety of different applications for t...
DOI
Add to ORKG