Word semantic change: The law of differentiation vs. The law of parallel change

Erjia Yan, Yongjun Zhu

Research output: Contribution to conferencePaperpeer-review

Abstract

The objective of this research-in-progress paper is to reveal word semantic change and verify whether the change conforms to the law of differentiation or the law of parallel change. This paper identifies a set of representative words in biomedical literature based on word frequency and word-topic probability distributions. It employs a skip-gram word2vec model to the identified words to measure word-level semantic changes. This paper finds no overwhelming evidence to support either the law of differentiation or the law of parallel change.

Original languageEnglish
Pages1342-1345
Number of pages4
Publication statusPublished - 2017
Event16th International Conference on Scientometrics and Informetrics, ISSI 2017 - Wuhan, China
Duration: 2017 Oct 162017 Oct 20

Other

Other16th International Conference on Scientometrics and Informetrics, ISSI 2017
Country/TerritoryChina
CityWuhan
Period17/10/1617/10/20

Bibliographical note

Funding Information:
This project was made possible in part by the Institute of Museum and Library Services (Grant Award Number: RE-07-15-0060-15), for the project titled “Building an entity-based research framework to enhance digital services on knowledge discovery and delivery”.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Applied Mathematics
  • Modelling and Simulation
  • Statistics and Probability
  • Management Science and Operations Research

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