Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
- 20 July 2008
- conference paper
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 307-314
- https://doi.org/10.1145/1390334.1390387
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- Multi-document Summarization Based on Cluster Using Non-negative Matrix FactorizationLecture Notes in Computer Science, 2007
- A general model for clustering binary dataPublished by Association for Computing Machinery (ACM) ,2005
- The Proposition Bank: An Annotated Corpus of Semantic RolesComputational Linguistics, 2005
- Centroid-based summarization of multiple documentsInformation Processing & Management, 2004
- Automatic evaluation of summaries using N-gram co-occurrence statisticsPublished by Association for Computational Linguistics (ACL) ,2003
- Introduction to the Special Issue on SummarizationComputational Linguistics, 2002
- The use of unlabeled data to improve supervised learning for text summarizationPublished by Association for Computing Machinery (ACM) ,2002
- Summarization beyond sentence extraction: A probabilistic approach to sentence compressionArtificial Intelligence, 2002
- From single to multi-document summarizationPublished by Association for Computational Linguistics (ACL) ,2001
- Normalized cuts and image segmentationIeee Transactions On Pattern Analysis and Machine Intelligence, 2000