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Knowledge Driven Intelligent Survey Systems for Linguists

  • Ricardo Soares
  • Elspeth Edelstein
  • Jeff Z. PanEmail author
  • Adam Wyner
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11341)

Abstract

In this paper, we propose Knowledge Graph (KG), an articulated underlying semantic structure, to be a semantic bridge between human and systems. To illustrate our proposal, we focus on KG based intelligent survey systems. In state of the art systems, knowledge is hard-coded or implicit in these systems, making it hard for researchers to reuse, customise, link, or transmit the structured knowledge. Furthermore, such systems do not facilitate dynamic interaction based on the semantic structure. We design and implement a knowledge-driven intelligent survey system which is based on knowledge graph, a widely used technology that facilitates sharing and querying hypotheses, survey content, results, and analyses. The approach is developed, implemented, and tested in the field of Linguistics. Syntacticians and morphologists develop theories of grammar of natural languages. To evaluate theories, they seek intuitive grammaticality (well-formedness) judgments from native speakers, which either support a theory or provide counter-evidence. Our preliminary experiments show that a knowledge graph based linguistic survey can provide more nuanced results than traditional document-based grammaticality judgment surveys by allowing for tagging and manipulation of specific linguistic variables.

Keywords

Knowledge graph Intelligent survey system Grammaticality judgments 

Notes

Acknowledgement

This work was supported the EU Marie Currie K-Drive project (286348).

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Ricardo Soares
    • 1
  • Elspeth Edelstein
    • 2
  • Jeff Z. Pan
    • 1
    Email author
  • Adam Wyner
    • 3
  1. 1.Department of Computing ScienceUniversity of AberdeenAberdeenUK
  2. 2.School of Language, Literature, Music and Visual CultureUniversity of AberdeenAberdeenUK
  3. 3.School of Law and Department of Computer ScienceSwansea UniversitySwanseaUK

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