Automatic text processing
Constructing literature abstracts by computer: techniques and prospects
Information Processing and Management: an International Journal - Special issue on natural language processing and information retrieval
A trainable document summarizer
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
New Methods in Automatic Extracting
Journal of the ACM (JACM)
Advances in Automatic Text Summarization
Advances in Automatic Text Summarization
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
The automatic creation of literature abstracts
IBM Journal of Research and Development
The GIL summarizers: experiments in the track QA@INEX'10
INEX'10 Proceedings of the 9th international conference on Initiative for the evaluation of XML retrieval: comparative evaluation of focused retrieval
A hybrid approach to managing job offers and candidates
Information Processing and Management: an International Journal
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This paper discusses an approach to topic-oriented multi-document summarization. It investigates the effectiveness of using additional information about the document set as a whole, as well as individual documents. We present NEO-CORTEX, a multi-document summarization system based on the existing CORTEX system. Results are reported for experiments with a document base formed by the NIST DUC-2005 and DUC-2006 data. Our experiments have shown that NEO-CORTEX is an effective system and achieves good performance on topic-oriented multi-document summarization task.