Investigation of the Department of Natural Resources Response to Water Pollution complaints involving Lynndana Acres Subdivision, 1998

Investigative report produced by Iowa Citizens' Aide/Ombudsman

Iowa Water Pollution Control Works and Drinking Water Facilities Financing Programs (Joint Programs of the Iowa Finance Authority and the Iowa Department of Natural Resources), Independent Auditor's Reports Financial Statements and Supplemental Information Schedule of Findings, June 30, 2003

State Agency Audit Report

Department of Natural Resources - Special Investigation of The Lewis and Clark State Park in Onawa, July 1st, 2001 through November 30, 2004

Other Audit Reports - Special Investigation

Report of Recommendations to the Iowa Department of Natural Resources, June 30, 2004

State Audit Reports

Platform for Automatic, Normalized Annotation and Cost-Effective Acquisition of Language Resources for Human Language Technologies: PANACEA

El objetivo de PANACEA es engranar diferentes herramientas avanzadas para construir una fábrica de Recursos Lingüísticos (RL), una línea de producción que automatice los pasos implicados en la adquisición, producción, actualización y mantenimiento de los RL que la Traducción Automática y otras tecnologías lingüísticas, necesitan.

PANACEA (Platform for Automatic, Normalised Annotation and Cost-Effective Acquisition of Language Resources for Human Language Technologies)

The objective of PANACEA is to build a factory of LRs that automates the stages involved in the acquisition, production, updating and maintenance of LRs required by MT systems and by other applications based on language technologies, and simplifies eventual issues regarding intellectual property rights. This automation will cut down the cost, time and human effort significantly. These reductions of costs and time are the only way to guarantee the continuous supply of LRs that MT and other language technologies will be demanding in the multilingual Europe.

Towards the automatic merging of language resources

Language Resources are a critical component for Natural Language Processing applications. Throughout the years many resources were manually created for the same task, but with different granularity and coverage information. To create richer resources for a broad range of potential reuses, nformation from all resources has to be joined into one. The hight cost of comparing and merging different resources by hand has been a bottleneck for merging existing resources. With the objective of reducing human intervention, we present a new method for automating merging resources. We have addressed the merging of two verbs subcategorization frame (SCF) lexica for Spanish. The results achieved, a new lexicon with enriched information and conflicting information signalled, reinforce our idea that this approach can be applied for other task of NLP.

Towards the Fully Automatic Merging of Lexical Resources: A Step Forward

This article reports on the results of the research done towards the fully automatically merging of lexical resources. Our main goal is to show the generality of the proposed approach, which have been previously applied to merge Spanish Subcategorization Frames lexica. In this work we extend and apply the same technique to perform the merging of morphosyntactic lexica encoded in LMF. The experiments showed that the technique is general enough to obtain good results in these two different tasks which is an important step towards performing the merging of lexical resources fully automatically.

Towards the Automatic Merging of Lexical Resources: Automatic Mapping

Lexical Resources are a critical component for Natural Language Processing applications. However, the high cost of comparing and merging different resources has been a bottleneck to have richer resources with a broad range of potential uses for a significant number of languages.With the objective of reducing cost byeliminating human intervention, we present a new method for automating the merging of resources,with special emphasis in what we call the mapping step. This mapping step, which converts the resources into a common format that allows latter the merging, is usually performed with huge manual effort and thus makes the whole process very costly. Thus, we propose a method to perform this mapping fully automatically. To test our method, we have addressed the merging of two verb subcategorization frame lexica for Spanish, The resultsachieved, that almost replicate human work, demonstrate the feasibility of the approach.

A Method Towards the Fully Automatic Merging of Lexical Resources

Lexical Resources are a critical component for Natural Language Processing applications. However, the high cost of comparing and merging different resources has been a bottleneck to obtain richer resources and a broader range of potential uses for a significant number of languages. With the objective of reducing cost by eliminating human intervention, we present a new method towards the automatic merging of resources. This method includes both, the automatic mapping of resources involved to a common format and merging them, once in this format. This paper presents how we have addressed the merging of two verb subcategorization frame lexica for Spanish, but our method will be extended to cover other types of Lexical Resources. The achieved results, that almost replicate human work, demonstrate the feasibility of the approach.

Iowa Water Pollution Control Works and Drinking Water Facilities Financing Programs, (Joint Programs of the Iowa Finance Authority and The Iowa Department of Natural Resources), Independent Auditor's Reports, Financial Statements and Supplemental Information, June 30, 2004

State Audit Reports

Report of Recommendations to the Iowa Department of Natural Resources, June 30, 2005

State Audit Reports

Iowa Water Pollution Control Works and Drinking Water Facilities Financing Programs, (Joint Programs of the Iowa Finance Authority and the Iowa Department of Natural Resources), Independent Auditor's Reports, Financial Statements and Supplementary Information, Schedule of Findings, June 30, 2005

State Audit Reports

2005 Annual Compliance Report of the Iowa Public Drinking Water Program, Department of Natural Resources, June 2006

This report contains information about Iowa's public drinking water program for the calendar year 2005. Included in the report are descriptions of Iowa's systems, monitoring and reporting requirements of the systems, and violations incurred during the year. This report meets the federal Safe Drinking Water Act's requirement of an annual report on violations of national primary drinking water regulations by public water supply systems in Iowa.