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Query-based Multi-Document Summarization by Clustering of Documents
2014
Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing - ICONIAAC '14
Information Retrieval (IR) systems such as search engines retrieve a large set of documents, images and videos in response to a user query. Computational methods such as Automatic Text Summarization (ATS) reduce this information load enabling users to find information quickly without reading the original text. The challenges to ATS include both the time complexity and the accuracy of summarization. Our proposed Information Retrieval system consists of three different phases: Retrieval phase,
doi:10.1145/2660859.2660972
fatcat:eacyurgeargvldp6au7pm4mbcy