An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Exploratory text mining of ocean law to measure overlapping agency and jurisdictional authority
dg.o '08 Proceedings of the 2008 international conference on Digital government research
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In this paper, we describe a tool to help holistically understand, research and analyze the relationship between an ecosystem model and the relevant laws. Specifically, a software, MINOE, is being developed to address the needs to identify gaps, overlaps and linkages in the increasingly fragmented set of ocean-related laws. MINOE requires two pieces of information from the users, namely an ecosystem model, and a set of laws and its associated metadata, to perform the analysis. The output from MINOE is a searchable collection of laws organized by ecosystem relationships. Additionally, various visualization modules have been developed to help users synthesize the results for gap and overlap analyses. Two current usage examples are documented to illustrate the potential use of MINOE on legislation and management research.