Sanchez-Pi, N. ; Martí, L. and García, A.C
International Joint Conference SOCO’13-CISIS’13-ICEUTE’13 Advances in Intelligent Systems and Computing Volume 239, 2014, pp 211-220
Publication year: 2013

Abstract

The development of automatic methods to produce usable structured information from unstructured text sources is extremely valuable to the oil and gas industry. A structured resource would allow researches and industry professionals to nayat chapter 1write relatively simple queries to retrieve all the information regards transcriptions of any accident. Instead of the thousands of abstracts provided by querying the unstructured corpus, the queries on structured corpus would result in a few hundred well-formed results. On this paper we propose and evaluate information extraction techniques in occupational health control process, particularly, for the case of automatic detection of accidents from unstructured texts. Our proposal divides the problem in subtasks such as text analysis, recognition and classi cation of failed occupational health control, resolving accidents.