Knowledge in context: a strategy for expert system maintenance
AI '88 Proceedings of the second Australian joint conference on Artificial intelligence
A trainable document summarizer
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Induction of ripple-down rules applied to modeling large databases
Journal of Intelligent Information Systems
Automatic text structuring and summarization
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Towards topic-based summarization for interactive document viewing
Proceedings of the 2nd international conference on Knowledge capture
Semantics-based legal citation network
Proceedings of the 11th international conference on Artificial intelligence and law
Information Processing and Management: an International Journal
Extractive summarisation of legal texts
Artificial Intelligence and Law - AI & law in eGovernment and eDemocracy part I
Machine Translation of Legal Information and Its Evaluation
Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence
Scientific paper summarization using citation summary networks
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
LexRank: graph-based lexical centrality as salience in text summarization
Journal of Artificial Intelligence Research
Natural Language Processing with Python
Natural Language Processing with Python
RDRCE: combining machine learning and knowledge acquisition
PKAW'10 Proceedings of the 11th international conference on Knowledge management and acquisition for smart systems and services
RDR-based open IE for the web document
Proceedings of the sixth international conference on Knowledge capture
Supervised machine learning for summarizing legal documents
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Towards automatic generation of catchphrases for legal case reports
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Knowledge acquisition for categorization of legal case reports
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
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Summarization, like other natural language processing tasks, is tackled with a range of different techniques - particularly machine learning approaches, where human intuition goes into attribute selection and the choice and tuning of the learning algorithm. Such techniques tend to apply differently in different contexts, so in this paper we describe a hybrid approach in which a number of different summarization techniques are combined in a rule-based system using manual knowledge acquisition, where human intuition, supported by data, specifies not only attributes and algorithms, but the contexts where these are best used. We apply this approach to automatic summarization of legal case reports. We show how a preliminary knowledge base, composed of only 23 rules, already outperforms competitive baselines.