C4.5: programs for machine learning
C4.5: programs for machine learning
Generating summaries from event data
Information Processing and Management: an International Journal - Special issue: summarizing text
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Building natural language generation systems
Building natural language generation systems
The Linguistic Basis of Text Generation
The Linguistic Basis of Text Generation
Using Natural-Language Processing to Produce Weather Forecasts
IEEE Expert: Intelligent Systems and Their Applications
Near-synonymy and lexical choice
Computational Linguistics
An Online Algorithm for Segmenting Time Series
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
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
SUMMAC: a text summarization evaluation
Natural Language Engineering
Design of a knowledge-based report generator
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
Automatically extracting and representing collocations for language generation
ACL '90 Proceedings of the 28th 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
Summarizing neonatal time series data
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
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
A two-stage model for content determination
EWNLG '01 Proceedings of the 8th European workshop on Natural Language Generation - Volume 8
Knowledge acquisition for natural language generation
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Learning the meaning and usage of time phrases from a parallel text-data corpus
HLT-NAACL-LWM '04 Proceedings of the HLT-NAACL 2003 workshop on Learning word meaning from non-linguistic data - Volume 6
Grounded semantic composition for visual scenes
Journal of Artificial Intelligence Research
Grounding the lexical semantics of verbs in visual perception using force dynamics and event logic
Journal of Artificial Intelligence Research
Using spatial reference frames to generate grounded textual summaries of georeferenced data
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
Generating expository dialogue from monologue: motivation, corpus and preliminary rules
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Using NLG and sensors to support personal narrative for children with complex communication needs
SLPAT '10 Proceedings of the NAACL HLT 2010 Workshop on Speech and Language Processing for Assistive Technologies
A simple domain-independent probabilistic approach to generation
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Comparing rating scales and preference judgements in language evaluation
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
Towards an extrinsic evaluation of referring expressions in situated dialogs
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
Generating approximate geographic descriptions
Empirical methods in natural language generation
Assessing the trade-off between system building cost and output quality in data-to-text generation
Empirical methods in natural language generation
Introducing shared tasks to NLG: the TUNA shared task evaluation challenges
Empirical methods in natural language generation
A review on time series data mining
Engineering Applications of Artificial Intelligence
Proceedings of the 17th Amsterdam colloquium conference on Logic, language and meaning
Temporal vagueness, coordination and communication
ViC'09 Proceedings of the 2009 international conference on Vagueness in communication
Using the journalistic metaphor to design user interfaces that explain sensor data
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part III
Expert Systems with Applications: An International Journal
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
Generating numerical approximations
Computational Linguistics
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
Supporting Personal Narrative for Children with Complex Communication Needs
ACM Transactions on Computer-Human Interaction (TOCHI)
Unsupervised concept-to-text generation with hypergraphs
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Concept-to-text generation via discriminative reranking
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
MinkApp: generating spatio-temporal summaries for nature conservation volunteers
INLG '12 Proceedings of the Seventh International Natural Language Generation Conference
Artificial Intelligence in Medicine
Introducing fuzzy labels to agent-generated textual descriptions of incomplete city-traffic states
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
Evaluating a Tool for Improving Accessibility to Charts and Graphs
ACM Transactions on Computer-Human Interaction (TOCHI)
A task-performance evaluation of referring expressions in situated collaborative task dialogues
Language Resources and Evaluation
A global model for concept-to-text generation
Journal of Artificial Intelligence Research
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One of the main challenges in automatically generating textual weather forecasts is choosing appropriate English words to communicate numeric weather data. A corpus-based analysis of how humans write forecasts showed that there were major differences in how individual writers performed this task, that is, in how they translated data into words. These differences included both different preferences between potential near-synonyms that could be used to express information, and also differences in the meanings that individual writers associated with specific words. Because we thought these differences could confuse readers, we built our SumTime-Mousam weather-forecast generator to use consistent data-to-word rules, which avoided words which were only used by a few people, and words which were interpreted differently by different people. An evaluation by forecast users suggested that they preferred SumTime-Mousam's texts to human-generated texts, in part because of better word choice; this may be the first time that an evaluation has shown that nlg texts are better than human-authored texts.