Text generation: using discourse strategies and focus constraints to generate natural language text
Text generation: using discourse strategies and focus constraints to generate natural language text
Pragmatics and natural language generation
Artificial Intelligence
Participating in explanatory dialogues: interpreting and responding to questions in context
Participating in explanatory dialogues: interpreting and responding to questions in context
Natural language understanding (2nd ed.)
Natural language understanding (2nd ed.)
Using Grice's maxim of quantity to select the content of plan descriptions
Artificial Intelligence
Building natural language generation systems
Building natural language generation systems
Expressibility and the Problem of Efficient Text Planning
Expressibility and the Problem of Efficient Text Planning
IJCAR '01 Proceedings of the First International Joint Conference on Automated Reasoning
Rewriting Concepts Using Terminologies Revisited
Rewriting Concepts Using Terminologies Revisited
Generating English summaries of time series data using the Gricean maxims
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
The problem of logical-form equivalence
Computational Linguistics - Special issue on using large corpora: I
ILEX: an architecture for a dynamic hypertext generation system
Natural Language Engineering
Conciseness through aggregation in text generation
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
A Reference Architecture for Natural Language Generation Systems
Natural Language Engineering
IEEE Intelligent Systems
Explaining subsumption in description logics
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
The Value of Weights in Automatically Generated Text Structures
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
SIM: um modelo semântico-inferencialista para sistemas de linguagem natural
Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
FootbOWL: using a generic ontology of football competition for planning match summaries
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
Content selection from an ontology-based knowledge base for the generation of football summaries
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
Perspective-oriented generation of football match summaries: Old tasks, new challenges
ACM Transactions on Speech and Language Processing (TSLP)
From ontology to NL: generation of multilingual user-oriented environmental reports
NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems
Content selection from semantic web data
INLG '12 Proceedings of the Seventh International Natural Language Generation Conference
Generating natural language descriptions from OWL ontologies: the natural OWL system
Journal of Artificial Intelligence Research
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This paper presents an investigation into the problem of content determination in natural language generation (NLG), using as an example the problem of determining what to say when asked ''What is an A?'', where A is a concept defined in an OWL ontology. It is shown that a naive approach to this problem, which just presents a set of the stated axioms, will often inadvertantly violate maxims of cooperative conversation. What is required instead is a kind of inference that generates logical conclusions of the axioms that are suitable for natural language presentation-natural language directed inference (NLDI). Although NLDI, in this case a kind of non-standard inference in description logics, is hard to formalise in general, for this problem we isolate a significant subproblem-that of enumerating subsumers of A that are suitable for natural language presentation. For this problem, which on the face of it appears intractable, we show how factors relevant to natural language presentation enable an optimised solution that is realistic in practice. The paper makes a contribution to the increasingly important practical problem of explaining concepts in an ontology. It also makes a first step towards the development of domain independent principles for content determination.