A case for interaction: a study of interactive information retrieval behavior and effectiveness
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Summarizing text documents: sentence selection and evaluation metrics
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
New Methods in Automatic Extracting
Journal of the ACM (JACM)
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
Nymble: a high-performance learning name-finder
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
From single to multi-document summarization: a prototype system and its evaluation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Cross-lingual C*ST*RD: English access to Hindi information
ACM Transactions on Asian Language Information Processing (TALIP)
Using syntactic information to extract relevant terms for multi-document summarization
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Multi-document summarization using cluster-based link analysis
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Document-Based HITS Model for Multi-document Summarization
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Have a say over what you see: evaluating interactive compression techniques
Proceedings of the 14th international conference on Intelligent user interfaces
An exploration of document impact on graph-based multi-document summarization
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Exploring content models for multi-document summarization
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Learning from the report-writing behavior of individuals
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Versatile question answering systems: seeing in synthesis
International Journal of Intelligent Information and Database Systems
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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We describe iNeATS -- an interactive multi-document summarization system that integrates a state-of-the-art summarization engine with an advanced user interface. Three main goals of the system are: (1) provide a user with control over the summarization process, (2) support exploration of the document set with the summary as the staring point, and (3) combine text summaries with alternative presentations such as a map-based visualization of documents.