Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Selecting text spans for document summaries: heuristics and metrics
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Generating Natural Language under Pragmatic Constraints
Generating Natural Language under Pragmatic Constraints
TextTiling: A Quantitative Approach to Discourse
TextTiling: A Quantitative Approach to Discourse
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Exploiting subjectivity classification to improve information extraction
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
The automatic creation of literature abstracts
IBM Journal of Research and Development
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The purpose of this work is to present an automatic summarizer that uses as a metric the number of words into a sentence to define the text author's pragmatic profile. Using the number of words as a metric, the original text is classified according to its temporal measures and textual composition, which is based on its formality. Also, these features are parameters to the summary generation that indicate the compression level. This work uses traditional methodologies of automatic summarization and compares these results to results obtained with our proposal.