- author = "Nguyen Quang Uy and Pham Tuan Anh and Truong Cong Doan and Nguyen Xuan Hoai",
- title = "A Study on the Use of Genetic Programming for Automatic Text Summarization",
- booktitle = "The Fourth International Conference on Knowledge and Systems Engineering, KSE 2012",
- year = "2012",
- editor = "Hung Dang-Van and Jeff Sanders",
- pages = "93--98",
- address = "Danang, Vietnam",
- month = "17-19 " # aug,
- keywords = "genetic algorithms, genetic programming, Internet, Vietnamese news documents, automatic text summarisation, document information extraction, information retrieval, text analysis",
-
DOI = "
doi:10.1109/KSE.2012.10",
- size = "6 pages",
- abstract = "Text summarisation is the process of identifying and extracting the most vital information in a document. It has been seen as an effective method for dealing with increasing amount of information on the Internet nowadays. In this paper, we present an application of Genetic Programming to the problem of Automatic Text Summarization. Genetic Programming was used to evolve the function that ranks the sentences in a document based on their importance. The summary was extracted by selecting the sentences that have the highest rankings. The experiment was conducted on a number of Vietnamese news documents. The result showed that the summaries created by Genetic Programming are better than those created by a number of statistic based methods and even by human (non-experts).",
-
notes = "http://www.dut.edu.vn/kse2012/programme.html
also known as \cite{6299404}",
