A trainable document summarizer
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
The decomposition of human-written summary sentences
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to the special issue on summarization
Computational Linguistics - Summarization
Journal of Biomedical Informatics - Special issue: Dialog systems for health communications
CollabSum: exploiting multiple document clustering for collaborative single document summarizations
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
GA, MR, FFNN, PNN and GMM based models for automatic text summarization
Computer Speech and Language
A Comparative Study of Probabilistic Ranking Models for Chinese Spoken Document Summarization
ACM Transactions on Asian Language Information Processing (TALIP)
Enhancing diversity, coverage and balance for summarization through structure learning
Proceedings of the 18th international conference on World wide web
Query-based opinion summarization for legal blog entries
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Single document summarization with document expansion
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Document summarization using conditional random fields
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Comparative document summarization via discriminative sentence selection
Proceedings of the 18th ACM conference on Information and knowledge management
Swarm Diversity Based Text Summarization
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Exploiting neighborhood knowledge for single document summarization and keyphrase extraction
ACM Transactions on Information Systems (TOIS)
Fuzzy swarm diversity hybrid model for text summarization
Information Processing and Management: an International Journal
A risk minimization framework for extractive speech summarization
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Document update summarization using incremental hierarchical clustering
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Towards a unified approach to simultaneous single-document and multi-document summarizations
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Sentence extraction by graph neural networks
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Integrating Document Clustering and Multidocument Summarization
ACM Transactions on Knowledge Discovery from Data (TKDD)
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts of ACL 2011
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
iDVS: an interactive multi-document visual summarization system
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Efficient keyword extraction for meaningful document perception
Proceedings of the 11th ACM symposium on Document engineering
Web Page Summarization for Just-in-Time Contextual Advertising
ACM Transactions on Intelligent Systems and Technology (TIST)
Incorporating cross-document relationships between sentences for single document summarizations
ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
Text summarisation in progress: a literature review
Artificial Intelligence Review
Natural Language Engineering
Weighted consensus multi-document summarization
Information Processing and Management: an International Journal
Automatic extractive text summarization based on fuzzy logic: a sentence oriented approach
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
Improving document summarization by incorporating social contextual information
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Comparative document summarization via discriminative sentence selection
ACM Transactions on Knowledge Discovery from Data (TKDD)
SumView: A Web-based engine for summarizing product reviews and customer opinions
Expert Systems with Applications: An International Journal
Large-margin learning of submodular summarization models
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
WikiSent: weakly supervised sentiment analysis through extractive summarization with wikipedia
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Obtaining single document summaries using latent dirichlet allocation
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
Comparative Document Summarization via Discriminative Sentence Selection
ACM Transactions on Knowledge Discovery from Data (TKDD)
Exploiting relevance, coverage, and novelty for query-focused multi-document summarization
Knowledge-Based Systems
Automatically assessing machine summary content without a gold standard
Computational Linguistics
Extractive single-document summarization based on genetic operators and guided local search
Expert Systems with Applications: An International Journal
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A sentence extract summary of a document is a subset of the document's sentences that contains the main ideas in the document. We present an approach to generating such summaries, a hidden Markov model that judges the likelihood that each sentence should be contained in the summary. We compare the results of this method with summaries generated by humans, showing that we obtain significantly higher agreement than do earlier methods.