DASyR(IR) - Document Analysis System for Systematic Reviews (in Information Retrieval)

Authors: 
Florina Piroi
Aldo Lipani
Mihai Lupu
Allan Hanbury
Type: 
Speech with proceedings
Proceedings: 
13th International Conference on Document Analysis and Recognition (ICDAR), 2015
Publisher: 
IEEE Xplore
Pages: 
591 - 595
ISBN: 
Year: 
2015
Abstract: 
Creating systematic reviews is a painstaking task undertaken especially in domains where experimental results are the primary method to knowledge creation. For the review authors, analysing documents to extract relevant data is a demanding activity. To support the creation of systematic reviews, we have created DASyR-a semi-automatic document analysis system. DASyR is our solution to annotating published papers for the purpose of ontology population. For domains where dictionaries are not existing or inadequate, DASyR relies on a semi-automatic annotation bootstrapping method based on positional Random Indexing, followed by traditional Machine Learning algorithms to extend the annotation set. We provide an example of the method application to a subdomain of Computer Science, the Information Retrieval evaluation domain. The reliance of this domain on large scale experimental studies makes it a perfect domain to test on. We show the utility of DASyR through experimental results for different parameter values for the bootstrap procedure, evaluated in terms of annotator agreement, error rate, precision and recall.
TU Focus: 
Information and Communication Technology
Reference: 

F. Piroi, A. Lipani, M. Lupu, A. Hanbury:
"DASyR(IR) - Document Analysis System for Systematic Reviews (in Information Retrieval)";
Vortrag: 13th International Conference on Document Analysis and Recognition (ICDAR), 2015, Nancy, France; 23.08.2015 - 26.08.2015; in: "13th International Conference on Document Analysis and Recognition (ICDAR), 2015", IEEE Xplore, (2015), S. 591 - 595.

Zusätzliche Informationen

Last changed: 
11.01.2016 10:09:42
TU Id: 
245774
Accepted: 
Accepted
Invited: 
Department Focus: 
Business Informatics
Abstract German: 
Author List: 
F. Piroi, A. Lipani, M. Lupu, A. Hanbury