Lessons from a failure: generating tailored smoking cessation letters
TLDR
Although it is rare for AI papers to present negative results, it is believed that useful lessons can be learned from STOP and the AI community as a whole could benefit from considering the issue of how, when, and why negative results should be reported.About:
This article is published in Artificial Intelligence.The article was published on 2003-03-01 and is currently open access. It has received 187 citations till now. The article focuses on the topics: Smoking cessation & Clinical trial.read more
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Survey of the state of the art in natural language generation: core tasks, applications and evaluation
Albert Gatt,Emiel Krahmer +1 more
TL;DR: A survey of the state of the art in natural language generation can be found in this article, with an up-to-date synthesis of research on the core tasks in NLG and the architectures adopted in which such tasks are organized.
Reference EntryDOI
Self-help interventions for smoking cessation.
Tim Lancaster,Lindsay F Stead +1 more
TL;DR: There is evidence that materials that are tailored for individual smokers are effective, and are more effective than untailored materials, although the absolute size of effect is still small, and that tailored materials as more helpful than standard materials are supported.
Journal ArticleDOI
Syntactic Simplification and Text Cohesion
TL;DR: This article formalised the interactions that take place between syntax and discourse during syntactic simplification process and presented the results of an evaluation of their system, which preserves conjunctive and anaphoric cohesive relations.
Journal ArticleDOI
Automatic generation of textual summaries from neonatal intensive care data
François Portet,Ehud Reiter,Albert Gatt,Jim Hunter,Somayajulu Sripada,Yvonne Freer,Cindy Sykes +6 more
TL;DR: A prototype, called BT-45, is presented, which generates textual summaries of about 45 minutes of continuous physiological signals and discrete events and brings together techniques from the different areas of signal processing, medical reasoning, knowledge engineering, and natural language generation.
Journal ArticleDOI
An investigation into the validity of some metrics for automatically evaluating natural language generation systems
TL;DR: The results of two studies of how well some metrics which are popular in other areas of NLP correlate with human judgments in the domain of computer-generated weather forecasts suggest that, at least in this domain, metrics may provide a useful measure of language quality, although the evidence for this is not as strong as one would ideally like to see.
References
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Proceedings ArticleDOI
Bleu: a Method for Automatic Evaluation of Machine Translation
TL;DR: This paper proposed a method of automatic machine translation evaluation that is quick, inexpensive, and language-independent, that correlates highly with human evaluation, and that has little marginal cost per run.
Book
The Logic of Scientific Discovery
TL;DR: The Open Society and Its Enemies as discussed by the authors is regarded as one of Popper's most enduring books and contains insights and arguments that demand to be read to this day, as well as many of the ideas in the book.
Book
Building Natural Language Generation Systems
Ehud Reiter,Robert Dale +1 more
TL;DR: The architecture of a Natural Language Generation system and its implications for national language generation in practice are described.