A trainable document summarizer
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
The automatic construction of large-scale corpora for summarization research
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Extracting sentence segments for text summarization: a machine learning approach
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Generic text summarization using relevance measure and latent semantic analysis
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A new approach to unsupervised text summarization
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
The use of unlabeled data to improve supervised learning for text summarization
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Document clustering based on non-negative matrix factorization
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Generic Text Summarization Using Local and Global Properties of Sentences
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Text summarization using a trainable summarizer and latent semantic analysis
Information Processing and Management: an International Journal - Special issue: An Asian digital libraries perspective
Document summarization using conditional random fields
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
The automatic creation of literature abstracts
IBM Journal of Research and Development
Usage patterns and latent semantic analyses for task goal inference of multimodal user interactions
Proceedings of the 15th international conference on Intelligent user interfaces
Web Page Summarization for Just-in-Time Contextual Advertising
ACM Transactions on Intelligent Systems and Technology (TIST)
Automatic query-based personalized summarization that uses pseudo relevance feedback with NMF
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
Topic decomposition and summarization
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
EM clustering algorithm for automatic text summarization
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Improving document summarization by incorporating social contextual information
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Information Processing and Management: an International Journal
MCMR: Maximum coverage and minimum redundant text summarization model
Expert Systems with Applications: An International Journal
GenDocSum+MCLR: Generic document summarization based on maximum coverage and less redundancy
Expert Systems with Applications: An International Journal
CDDS: Constraint-driven document summarization models
Expert Systems with Applications: An International Journal
Ontology-enriched multi-document summarization in disaster management using submodular function
Information Sciences: an International Journal
Multiple documents summarization based on evolutionary optimization algorithm
Expert Systems with Applications: An International Journal
Document summarisation on mobile devices using non-negative matrix factorisation
International Journal of Computer Applications in Technology
TopicDSDR: combining topic decomposition and data reconstruction for summarization
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Expert Systems with Applications: An International Journal
Extractive single-document summarization based on genetic operators and guided local search
Expert Systems with Applications: An International Journal
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In existing unsupervised methods, Latent Semantic Analysis (LSA) is used for sentence selection. However, the obtained results are less meaningful, because singular vectors are used as the bases for sentence selection from given documents, and singular vector components can have negative values. We propose a new unsupervised method using Non-negative Matrix Factorization (NMF) to select sentences for automatic generic document summarization. The proposed method uses non-negative constraints, which are more similar to the human cognition process. As a result, the method selects more meaningful sentences for generic document summarization than those selected using LSA.