We present an authoring system for logical forms encoded as conceptual graphs (CG). The system belongs to the family of WYSIWYM (What You See Is What You Mean) text generation systems: logical forms are entered interactively and the corresponding linguistic realization of the expressions is generated in several languages. The system maintains a model of the discourse context corresponding to the authored documents. The system helps users author documents formulated in the CG format. In a first stage, a domainspecific ontology is acquired by learning from example texts in the domain. The ontology acquisition module builds a typed hierarchy of concepts and relations derived from the WordNet and Verbnet. The user can then edit a specific docum...
The paper deals with a computational resources that is being developed within the FunGramKB Project....
A conceptually aligned text is one in which spans are systematically linked to a logical encoding of...
This project has two components, the Natural Language Generation (NLG) Engine and the Web App Editor...
The central theme of this thesis is the generation of natural language from a formalrepresentation o...
A method of generating conceptual graphs representing the meanings of real natural language texts is...
The central theme of this thesis is the generation of natural language from a formalrepresentation o...
This thesis aims to identify the optimal ways in which natural language generation techniques can be...
AbstractConceptual graphs are a semantic representation that has a direct mapping to natural languag...
An important capability of the conceptual graph knowledge engineering tools now under development wi...
Many applications of Natural Language Generation employ object-oriented knowledge representation for...
Natural Language Generation (NLG) is the process of generating natural language text from an input, ...
Computer-based generation of natural language requires consideration of two different types of probl...
AbstractConceptual graphs are a knowledge representation language designed as a synthesis of several...
. This paper presents some research results and a demo implementation of a knowledge-based Machine ...
Abstract. A conceptual graph (CG) is a graph representation for logic based on the semantic networks...
The paper deals with a computational resources that is being developed within the FunGramKB Project....
A conceptually aligned text is one in which spans are systematically linked to a logical encoding of...
This project has two components, the Natural Language Generation (NLG) Engine and the Web App Editor...
The central theme of this thesis is the generation of natural language from a formalrepresentation o...
A method of generating conceptual graphs representing the meanings of real natural language texts is...
The central theme of this thesis is the generation of natural language from a formalrepresentation o...
This thesis aims to identify the optimal ways in which natural language generation techniques can be...
AbstractConceptual graphs are a semantic representation that has a direct mapping to natural languag...
An important capability of the conceptual graph knowledge engineering tools now under development wi...
Many applications of Natural Language Generation employ object-oriented knowledge representation for...
Natural Language Generation (NLG) is the process of generating natural language text from an input, ...
Computer-based generation of natural language requires consideration of two different types of probl...
AbstractConceptual graphs are a knowledge representation language designed as a synthesis of several...
. This paper presents some research results and a demo implementation of a knowledge-based Machine ...
Abstract. A conceptual graph (CG) is a graph representation for logic based on the semantic networks...
The paper deals with a computational resources that is being developed within the FunGramKB Project....
A conceptually aligned text is one in which spans are systematically linked to a logical encoding of...
This project has two components, the Natural Language Generation (NLG) Engine and the Web App Editor...