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Frankenstein: A Platform Enabling Reuse of Question Answering Components

  • Kuldeep Singh
  • Andreas Both
  • Arun Sethupat
  • Saeedeh Shekarpour
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10843)

Abstract

Recently remarkable trials of the question answering (QA) community yielded in developing core components accomplishing QA tasks. However, implementing a QA system still was costly. While aiming at providing an efficient way for the collaborative development of QA systems, the Frankenstein framework was developed that allows dynamic composition of question answering pipelines based on the input question. In this paper, we are providing a full range of reusable components as independent modules of Frankenstein populating the ecosystem leading to the option of creating many different components and QA systems. Just by using the components described here, 380 different QA systems can be created offering the QA community many new insights. Additionally, we are providing resources which support the performance analyses of QA tasks, QA components, and complete QA systems. Hence, Frankenstein is dedicated to improving the efficiency of the research process w.r.t. QA.

Keywords

Question answering Reusability Integration Annotation model Evaluation Pipeline 

Notes

Acknowledgements

Parts of this work received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 642795, project: Answering Questions using Web Data (WDAqua). We thank Maria Esther Vidal for her valuable inputs.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Kuldeep Singh
    • 1
  • Andreas Both
    • 2
  • Arun Sethupat
    • 3
  • Saeedeh Shekarpour
    • 4
  1. 1.Fraunhofer IAISSankt AugustinGermany
  2. 2.DATEV eGNurembergGermany
  3. 3.University of MinnesotaMinneapolisUSA
  4. 4.University of DaytonDaytonUSA

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