A framework for the extraction and modeling of fact-finding reasoning from legal decisions:lessons from the Vaccine/Injury project corpus

Citation
V.r.walker,n.carie,c.c.dewitt, A framework for the extraction and modeling of fact-finding reasoning from legal decisions:lessons from the Vaccine/Injury project corpus, Artificial intelligence and law , 19(4), 2011, pp. 291-331
ISSN journal
09248463
Volume
19
Issue
4
Year of publication
2011
Pages
291 - 331
Database
ACNP
SICI code
Abstract
Research in Artificial Intelligence (AI) and the Law has maintained an emphasis on knowledge representation and formal reasoning during a period when statistical, data-driven approaches have ascended to dominance within AI as a whole. Electronic discovery is a legal application area, with substantial commercial and research interest, where there are compelling arguments in favor of both empirical and knowledge-based approaches. We discuss the cases for both perspectives, as well as the opportunities for beneficial synergies.