Towards a general theory of action and time
Artificial Intelligence
Temporal ontology and temporal reference
Computational Linguistics - Special issue on tense and aspect
Building natural language generation systems
Building natural language generation systems
International Journal of Human-Computer Studies
A Practical Guide to Knowledge Acquisition
A Practical Guide to Knowledge Acquisition
Using Natural-Language Processing to Produce Weather Forecasts
IEEE Expert: Intelligent Systems and Their Applications
An Online Algorithm for Segmenting Time Series
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Lessons from a failure: generating tailored smoking cessation letters
Artificial Intelligence
Jess in Action: Java Rule-Based Systems
Jess in Action: Java Rule-Based Systems
Developing and empirically evaluating robust explanation generators: the KNIGHT experiments
Computational Linguistics
Language generation for multimedia healthcare briefings
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Design of a knowledge-based report generator
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
Generation of extended bilingual statistical reports
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 3
A review of explanation methods for heuristic expert systems
The Knowledge Engineering Review
Suregen-2: a shell system for the generation of clinical documents
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Choosing the content of textual summaries of large time-series data sets
Natural Language Engineering
The Pyramid Method: Incorporating human content selection variation in summarization evaluation
ACM Transactions on Speech and Language Processing (TSLP)
Inter-coder agreement for computational linguistics
Computational Linguistics
Automatic generation of textual summaries from neonatal intensive care data
Artificial Intelligence
Natural Language Engineering
An architecture for data-to-text systems
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
SimpleNLG: a realisation engine for practical applications
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Generating clausal coordinate ellipsis multilingually: a uniform approach based on postediting
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
Choosing words in computer-generated weather forecasts
Artificial Intelligence - Special volume on connecting language to the world
Summarization from medical documents: a survey
Artificial Intelligence in Medicine
Building a large-scale commercial NLG system for an EMR
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
Introducing shared tasks to NLG: the TUNA shared task evaluation challenges
Empirical methods in natural language generation
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
ICCHP'06 Proceedings of the 10th international conference on Computers Helping People with Special Needs
Generating affective natural language for parents of neonatal infants
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
Proceedings of the 17th Panhellenic Conference on Informatics
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Introduction: Our objective was to determine whether and how a computer system could automatically generate helpful natural language nursing shift summaries solely from an electronic patient record system, in a neonatal intensive care unit (NICU). Methods: A system was developed which automatically generates partial NICU shift summaries (for the respiratory and cardiovascular systems), using data-to-text technology. It was evaluated for 2 months in the NICU at the Royal Infirmary of Edinburgh, under supervision. Results: In an on-ward evaluation, a substantial majority of the summaries was found by outgoing and incoming nurses to be understandable (90%), and a majority was found to be accurate (70%), and helpful (59%). The evaluation also served to identify some outstanding issues, especially with regard to extra content the nurses wanted to see in the computer-generated summaries. Conclusions: It is technically possible automatically to generate limited natural language NICU shift summaries from an electronic patient record. However, it proved difficult to handle electronic data that was intended primarily for display to the medical staff, and considerable engineering effort would be required to create a deployable system from our proof-of-concept software.