Introduction to the theory of neural computation
Introduction to the theory of neural computation
An automatic procedure for topic-focus identification
Computational Linguistics
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
Summarizing text documents: sentence selection and evaluation metrics
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
New Methods in Automatic Extracting
Journal of the ACM (JACM)
Efficient text summarization using lexical chains
Proceedings of the 5th international conference on Intelligent user interfaces
The Theory and Practice of Discourse Parsing and Summarization
The Theory and Practice of Discourse Parsing and Summarization
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Summarizing scientific articles: experiments with relevance and rhetorical status
Computational Linguistics - Summarization
The rhetorical parsing, summarization, and generation of natural language texts
The rhetorical parsing, summarization, and generation of natural language texts
The rhetorical parsing, summarization, and generation of natural language texts
The rhetorical parsing, summarization, and generation of natural language texts
Identifying topics by position
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
A grammatico-statistical approach to discourse partitioning
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Abstract generation based on rhetorical structure extraction
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Integrating cohesion and coherence for automatic summarization
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
Experiments with a multilanguage non-projective dependency parser
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
Summarization from medical documents: a survey
Artificial Intelligence in Medicine
The automatic creation of literature abstracts
IBM Journal of Research and Development
Swarm Diversity Based Text Summarization
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Fuzzy swarm diversity hybrid model for text summarization
Information Processing and Management: an International Journal
Discourse segmentation for Spanish based on shallow parsing
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
DiSeg 1.0: The first system for Spanish discourse segmentation
Expert Systems with Applications: An International Journal
Text summarisation in progress: a literature review
Artificial Intelligence Review
EM clustering algorithm for automatic text summarization
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Discursive sentence compression
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Hi-index | 0.00 |
In this article we present a hybrid approach for automatic summarization of Spanish medical texts. There are a lot of systems for automatic summarization using statistics or linguistics, but only a few of them combining both techniques. Our idea is that to reach a good summary we need to use linguistic aspects of texts, but as well we should benefit of the advantages of statistical techniques. We have integrated the Cortex (Vector Space Model) and Enertex (statistical physics) systems coupled with the Yate term extractor, and the Disicosum system (linguistics). We have compared these systems and afterwards we have integrated them in a hybrid approach. Finally, we have applied this hybrid system over a corpora of medical articles and we have evaluated their performances obtaining good results.