Getting the message across in RST-based text generation
Current research in natural language generation
Automated discourse generation using discourse structure relations
Artificial Intelligence - Special volume on natural language processing
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
Embedding new information into referring expressions
ACL '98 Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 2
Corpus-based NP modifier generation
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
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It is not a rare phenomenon for human written text to use non-restrictive NP modifiers to express essential pieces of information or support the situation presented in the main proposition containing the NP, for example, "Private Eye, which couldn't afford the libel payment, had been threatened with closure." (from Wall Street Journal) Yet no previous research in NLG investigates this in detail. This paper describes corpus analysis and a psycholinguistic experiment regarding the acceptability of using non-restrictive NP modifiers to express semantic relations that might normally be signalled by 'because' and 'then'. The experiment tests several relevant factors and enables us to accept or reject a number of hypotheses. The results are incorporated into an NLG system based on a Genetic Algorithm.