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Automated Information Extraction for Systematic Literature Review

Develop a prototype to automatically extract information from articles to facilitate Systematic Literature Review in Software Engineering. Progress includes CRF model creation using MALLET API and testing. Research group focuses on database systems, information management, and digital libraries.

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Automated Information Extraction for Systematic Literature Review

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  1. Intern: Sofien Lazreg MSc in Informatics: Information Management

  2. Research Task: Create Information Extraction prototype which extracts information from articles to support the process of a Systematic Literature Review Short on SLR: Systematic Literature Review is a type of evidence-based research, where the goal is to answer some pre-stated research questions by collecting and synthesizing (all) the available research within a field of study, in my case Software Engineering.

  3. Research • When an SLR is performed, a large amount of data (academic workshops, articles etc) is processed manually to extract the needed information.

  4. Research • Goal: Try to automate and support this data extraction phase

  5. Research Progress: • Using MALLET API to create a CRF model • Trained on a small, manually labeled dataset (to be expanded) • Currently testing and evaluating the model

  6. Norway • Capital: Oslo • Population: 4,9 Million • Density: 385 186 km^2

  7. Trondheim .

  8. NTNU – Norwegian University of Science and Technology Movie time: http://vimeo.com/19161115

  9. Data and Information Management group • Research focused on database systems, information management and retrieval, and digital libraries • LINK: http://www.idi.ntnu.no/about/groups.php?menu=dif

  10. Summary • Leaving 25th November (from avg. 25 degrees celcius to avg. -15 d. c. ) • Thanks to Min-Yen and NUS for this great opportunity

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