Document clustering with committees
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
A Study of Chinese Text Summarization Using Adaptive Clustering of Paragraphs
CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
Centroid-based summarization of multiple documents
Information Processing and Management: an International Journal
Automatic evaluation of summaries using N-gram co-occurrence statistics
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Design and development of a concept-based multi-document summarization system for research abstracts
Journal of Information Science
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This paper presents a part of research work to develop a method for automatic summarization of sets of research paper abstracts of desired subject in a specific area that may be retrieved by a digital library system or search engine in response to a user query. Many digital libraries or online services provide research papers published in journals, conferences or workshops for reference purpose to the user. Research papers contain a wealth of high quality information by specifying research objectives, research methods, evaluation of research objectives, research results and concluding remarks. However, a research paper abstract is relatively long and browsing too many of such research paper abstracts results in information overload. Therefore, it would be helpful to summarize a set of research paper abstracts to assist users in grasping the main ideas on a desired topic in a specific area.