Prototype Synthesis for Model Laws
نویسندگان
چکیده
State legislatures often rely on existing text when drafting new bills. Resource and expertise constraints, which often drive this copying behavior, can be taken advantage of by lobbyists and special interest groups. These groups provide model bills, which encode policy agendas, with the intent that the models become actual law. Unfortunately, model legislation is often opaque to the public–both in source and content. In this paper we present LOBBYBACK, a system that reverse engineers model legislation from observed text. LOBBYBACK identifies clusters of bills which have text reuse and generates “prototypes” that represent a canonical version of the text shared between the documents. We demonstrate that LOBBYBACK accurately reconstructs model legislation and apply it to a dataset of over 550k bills.
منابع مشابه
Field Programmable Gate Array Implementation of Active Control Laws for Multi-mode Vibration Damping
This paper investigate the possibility and effectiveness of multi-mode vibration control of a plate through real-time FPGA (Field Programmable Gate Array) implementation. This type of embedded system offers true parallel and high throughput computation abilities. The control object is an aluminum panel, clamped to a Perspex box’s upper side. Two types of control laws are studied. The first belo...
متن کاملExperimental Study on Using Uniform Tuned Liquid Column Damper for Structural Control of Buildings Resting on Loose Soil
In this study, through series of shaking table tests and statistical analysis, the efficiency of Uniform Tuned Liquid Column Damper (UTLCD) in structures resting on loose soils, considering soil-structure interaction was investigated. The soil beneath the structure is loose sandy soil. The Laminar Shear Box (LSB) as a soil container was adopted and the scaled form of the prototype structure nam...
متن کاملIdentification and Robust Fault Detection of Industrial Gas Turbine Prototype Using LLNF Model
In this study, detection and identification of common faults in industrial gas turbines is investigated. We propose a model-based robust fault detection(FD) method based on multiple models. For residual generation a bank of Local Linear Neuro-Fuzzy (LLNF) models is used. Moreover, in fault detection step, a passive approach based on adaptive threshold is employed. To achieve this purpose, the a...
متن کاملDeveloping Digital University model
The purpose of this study was to develop a Digital University model. The research method was qualitative which was used for this purpose meta synthesis. The research population consisted of 2600 scientific papers (including articles, books, dissertations and work reports), of which 84 were selected as sample. In order to validate the research findings, the critical tool of Glynn (2006) and the ...
متن کاملPredictors of speeding among drivers based on Prototype Willingness Model
Background: Every year 1.2 millions of people are killed in road accident, and speeding is a major contributor road crashes among young driver. Accounting 40% of fatal crashes involved speeding. The purpose of this study was determining predictor of speeding intention among young driver 19-25 years old young driver in ghaemshahr based on Prototype Willingness Model. Materials and methods: I...
متن کامل