Lynne J. Cahill

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This paper addresses the question of whether Reiter's `Consensus NL Generation Architecture' Rei94] really exists, and if so whether it is a suitable candidate for a `reference architecture' for NLG systems. Our answer to the rst question is a tentative yes, but we are less comfortable to accept the second. In pursuit of a better understanding, we develop(More)
We present the rags (Reference Architecture for Generation Systems) framework: a specification of an abstract Natural Language Generation (NLG) system architecture to support sharing, re-use, comparison and evaluation of NLG technologies. We argue that the evidence from a survey of actual NLG systems calls for a different emphasis in a reference proposal(More)
We describe how Natural Language Generation (nlg) Technology is used in the Mile system. Mile is a web-based system for accessing maritime rules and regulations. We explain how the architecture of the system was derived from a set of user requirements and focus on the role of nlg in this architecture. More speciically, we describe how multilingual(More)
The RAGS project aims to develop a reference architecture for natural language generation, to facilitate modular development of NLG systams as well as evaluation of components, systems and algorithms. This paper gives an overview of the proposed framework, describing an abstract data model with five levels of representation: Conceptual, Semantic,(More)
The RAGS proposals for generic specification of NLG systems includes a detailed account of data representation, but only an outline view of processing aspects. In this paper we introduce a modular processing architecture with a concrete implementation which aims to meet the RAGS goals of transparency and reusability. We illustrate the model with the RICHES(More)
We present the rags (Reference Architecture for Generation Systems) framework, a specification of an abstract Natural Language Generation (NLG) system architecture to support sharing, re-use, comparison and evaluation of NLG technologies. We argue that the evidence from a survey of actual NLG systems calls for a different emphasis in a reference proposal(More)
The construction of lexicons for NLP applications is a potentially very expensive task, but a crucially important one, especially in multilingual applications. The automation of the task from generic data sources or corpora is as yet largely impractical for most applied systems. In this paper we describe a methodology for the semi-automation of the task,(More)