Automatic essay grading using text categorization techniques
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
The Journal of Machine Learning Research
Centroid-based summarization of multiple documents
Information Processing and Management: an International Journal
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Multi-document summarization by sentence extraction
NAACL-ANLP-AutoSum '00 Proceedings of the 2000 NAACL-ANLP Workshop on Automatic Summarization
Generating a non-English subjectivity lexicon: relations that matter
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
A scalable global model for summarization
ILP '09 Proceedings of the Workshop on Integer Linear Programming for Natural Langauge 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
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Common approaches to assessing document quality look at shallow aspects, such as grammar and vocabulary. For many real-world applications, deeper notions of quality are needed. This work represents a first step in a project aimed at developing computational methods for deep assessment of quality in the domain of intelligence reports. We present an automated system for ranking intelligence reports with regard to coverage of relevant material. The system employs methodologies from the field of automatic summarization, and achieves performance on a par with human judges, even in the absence of the underlying information sources.