Case Retrieval through Multiple Indexing and Heuristic Search
Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence. Machine Learning. Pages 902-907.
Abstract
We discuss the indexing of cases for use in precedent-based argument. Our focus is on how multiple, related indices into a case base of legal precedents are exploited by an argumentgeneration program called BankXX. This system's architecture and control scheme are rooted in a conceptualization of legal argument as heuristic search. Although our framing argument as search is not discussed in detail in this paper, we describe the main features of this view to provide context for a discussion of an indexing scheme that facilitates argument creation. We describe five inter-related index types-citation, prototypical story, factor, family resemblance, and legal theory indicesand show how they can be used to access, view, widen, or filter a set of cases. The application domain is a U.S. Federal statute that governs the approval of bankruptcy plans.
@inproceedings{ijcai1993p124,
title = {Case Retrieval through Multiple Indexing and Heuristic Search},
author = {Rissland, Edwina L. and Skalak, David B. and Friedman, M. Timur},
booktitle = {Proceedings of the Thirteenth International Joint Conference on
Artificial Intelligence, {IJCAI-93}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ruzena Bajcsy},
pages = {902--907},
year = {1993},
note = {Machine Learning},
url = {https://ijcai.org/proceedings/1993/124},
}
TY - CPAPER TI - Case Retrieval through Multiple Indexing and Heuristic Search AU - Rissland, Edwina L. AU - Skalak, David B. AU - Friedman, M. Timur T2 - Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93 PB - International Joint Conferences on Artificial Intelligence PY - 1993 SP - 902 EP - 907 UR - https://ijcai.org/proceedings/1993/124 ER -Copied
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