Noise strategies for improving local search
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
A Maximum-Entropy-Inspired Parser
A Maximum-Entropy-Inspired Parser
Generating natural language summaries from multiple on-line sources
Computational Linguistics - Special issue on natural language generation
Nymble: a high-performance learning name-finder
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Mixed-initiative development of language processing systems
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Multidocument summarization via information extraction
HLT '01 Proceedings of the first international conference on Human language technology research
Automatically generating extraction patterns from untagged text
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Selecting sentences for multidocument summaries using randomized local search
AS '02 Proceedings of the ACL-02 Workshop on Automatic Summarization - Volume 4
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Numeric Query Answering on the Web
International Journal on Semantic Web & Information Systems
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To aid analysts in detecting discrepancies in numeric estimates in news articles from multiple sources, we propose the automatic generation of hypertext summaries that include a high-level textual overview; tables of all comparable numeric estimates, organized to highlight discrepancies; and targeted access to supporting information from the original articles. The RIPTIDES system, which exemplifies the more flexible human-computer interface we propose, combines information extraction and multidocument summarization techniques to produce such hypertext summaries. In evaluating the system's ability to facilitate discrepancy detection, we find that, on average, the hypertext summaries provide a significantly more complete picture of the available information than the latest article.