Temporal ontology and temporal reference
Computational Linguistics - Special issue on tense and aspect
Using Natural-Language Processing to Produce Weather Forecasts
IEEE Expert: Intelligent Systems and Their Applications
Artificial Intelligence
Computational Linguistics
Preventing false temporal implicatures: interactive defaults for text generation
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Choosing the content of textual summaries of large time-series data sets
Natural Language Engineering
An architecture for data-to-text systems
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
Choosing words in computer-generated weather forecasts
Artificial Intelligence - Special volume on connecting language to the world
Generating and evaluating evaluative arguments
Artificial Intelligence
Using spatial reference frames to generate grounded textual summaries of georeferenced data
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
Using NLG to help language-impaired users tell stories and participate in social dialogues
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
Automatically generating stories from sensor data
Proceedings of the 16th international conference on Intelligent user interfaces
Generating automated news to explain the meaning of sensor data
IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X
Trap hunting: finding personal data management issues in next generation AAC devices
SLPAT '11 Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
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The BABYTALK BT-45 system generates textual summaries of clinical data about babies in a neonatal intensive care unit. A recent task-based evaluation of the system suggested that these summaries are useful, but not as effective as they could be. In this paper we present a qualitative analysis of problems that the evaluation highlighted in BT-45 texts. Many of these problems are due to the fact that BT-45 does not generate good narrative texts; this is a topic which has not previously received much attention from the NLG research community, but seems to be quite important for creating good data-to-text systems.