C4.5: programs for machine learning
C4.5: programs for machine learning
A trainable document summarizer
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic condensation of electronic publications by sentence selection
Information Processing and Management: an International Journal - Special issue: summarizing text
An algorithm for suffix stripping
Readings in information retrieval
Term-weighting approaches in automatic text retrieval
Readings in information retrieval
The use of MMR, diversity-based reranking for reordering documents and producing summaries
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Machine learning of generic and user-focused summarization
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
KEA: practical automatic keyphrase extraction
Proceedings of the fourth ACM conference on Digital libraries
New Methods in Automatic Extracting
Journal of the ACM (JACM)
Machine Learning
The automatic creation of literature abstracts
IBM Journal of Research and Development
Using gene expression programming to construct sentence ranking functions for text summarization
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Combining Multiple Features for Automatic Text Summarization through Machine Learning
PROPOR '08 Proceedings of the 8th international conference on Computational Processing of the Portuguese Language
A complex network approach to text summarization
Information Sciences: an International Journal
Automatic single-document key fact extraction from newswire articles
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Applying regression models to query-focused multi-document summarization
Information Processing and Management: an International Journal
Location specific summarization of climatic and agricultural trends
Proceedings of the 20th international conference companion on World wide web
Selecting a feature set to summarize texts in brazilian portuguese
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
A computer-assisted qualitative data analysis framework for the engineering management domain
International Journal of Data Analysis Techniques and Strategies
Automatic extraction and learning of keyphrases from scientific articles
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Using word sequences for text summarization
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
PROPOR'06 Proceedings of the 7th international conference on Computational Processing of the Portuguese Language
Panorama: a semantic-aware application search framework
Proceedings of the 16th International Conference on Extending Database Technology
Exploiting relevance, coverage, and novelty for query-focused multi-document summarization
Knowledge-Based Systems
| Hi-index | 0.00 |
In this paper we address the automatic summarization task. Recent research works on extractive-summary generation employ some heuristics, but few works indicate how to select the relevant features. We will present a summarization procedure based on the application of trainable Machine Learning algorithms which employs a set of features extracted directly from the original text. These features are of two kinds: statistical - based on the frequency of some elements in the text; and linguistic - extracted from a simplified argumentative structure of the text. We also present some computational results obtained with the application of our summarizer to some well known text databases, and we compare these results to some baseline summarization procedures.