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A Multidisciplinary Method for Constructing and Validating Word Similarity Datasets

  • Yu Wan
  • Yidong ChenEmail author
  • Xiaodong Shi
  • Guorong Cai
  • Libai Cai
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 650)

Abstract

Measuring semantic similarity is essential to many natural language processing (NLP) tasks. One widely used method to evaluate the similarity calculating models is to test their consistency with humans using human-scored gold-standard datasets, which consist of word pairs with corresponding similarity scores judged by human subjects. However, the descriptions on how such datasets are constructed are often not sufficient previously. Many problems, e.g. how the word pairs are selected, whether or not the scores are reasonable, etc., are not clearly addressed. In this paper, we proposed a multidisciplinary method for building and validating semantic similarity standard datasets, which is composed of 3 steps. Firstly, word pairs are selected based on computational linguistic resources. Secondly, similarities for the selected word pairs are scored by human subjects. Finally, Event-Related Potentials (ERPs) experiments are conducted to test the soundness of the constructed dataset. Using the proposed method, we finally constructed a Chinese gold-standard word similarity dataset with 260 word pairs and validated its soundness via ERP experiments. Although the paper only focused on constructing Chinese standard dataset, the proposed method is applicable to other languages.

Keywords

Word similarity Dataset Multidisciplinary method ERP 

Notes

Acknowledgments

This work was supported by National Natural Science Foundation of China (No. 61573294), National Social Science Foundation of China (No. 16AZD049) and Fujian Province 2011 Collaborative Innovation Center of TCM Health Management.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Yu Wan
    • 1
  • Yidong Chen
    • 1
    Email author
  • Xiaodong Shi
    • 1
  • Guorong Cai
    • 2
  • Libai Cai
    • 3
  1. 1.Department of Cognitive Science, School of Information and EngineeringXiamen UniversityXiamenPeople’s Republic of China
  2. 2.State Grid Fujian Liancheng Electric Power Company LimitedLongyanPeople’s Republic of China
  3. 3.Computer Engineering CollegeJimei UniversityXiamenPeople’s Republic of China

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