Structured Information Extraction from Unstructured Documents

Loading...
Thumbnail Image
Author (Corporation)
Publication date
2019
Typ of student thesis
Master
Course of study
Type
11 - Student thesis
Editors
Editor (Corporation)
Parent work
Special issue
DOI of the original publication
Link
Series
Series number
Volume
Issue / Number
Pages / Duration
Patent number
Publisher / Publishing institution
Hochschule für Wirtschaft FHNW
Place of publication / Event location
Olten
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
The constant development and use of information technology to digitize and digitalize business processes leads to an increasing amount of data available in various formats. This data comes in two main forms, namely structured and unstructured. Nowadays, around 80% of data in organisations is unstructured (Grimes, 2008). Insurance policy documents are a good example of this kind of data, with a lot of text and domain specific language. It is difficult to leverage this data as there is no clear structure and the massive amount of data makes it too time consuming to analyse it manually. Over the past years, the need to handle unstructured data has arisen and that’s why many researchers are trying to tackle this challenge.Currently, it is not possible to automatically extract structured information from insurance policy documents. Insurance brokers analyse every policy by hand and search for relevant terms. This information is then used to compare different insurance quotes and to offer the best combination to the customer. Instead of spending their time in consultancy and helping their clients find the best insurance solution, the brokers lose a lot of time in extracting relevant information....
Keywords
Subject (DDC)
Project
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Review
Open access category
License
Citation
Biafora, P. (2019). Structured Information Extraction from Unstructured Documents [Hochschule für Wirtschaft FHNW]. https://irf.fhnw.ch/handle/11654/40448