Conference proceeding
Word semantic change: The law of differentiation vs. the law of parallel change
16TH INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS (ISSI 2017), pp.1342-1345
01 Jan 2017
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.
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Details
- Title
- Word semantic change: The law of differentiation vs. the law of parallel change
- Creators
- Erjia Yan - Drexel UniversityYongjun Zhu - Cornell Univ, Weill Cornell Med, New York, NY 10021 USAISSI
- Contributors
- Atanassova (Editor)M Bertin (Editor)P Mayr (Editor)
- Publication Details
- 16TH INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS (ISSI 2017), pp.1342-1345
- Conference
- 16TH INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS (ISSI 2017), 16th
- Series
- Proceedings of the International Conference on Scientometrics and Informetrics
- Publisher
- Int Soc Scientometrics & Informetrics-Issi
- Number of pages
- 4
- Grant note
- RE-07-15-0060-15 / Institute of Museum and Library Services
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Identifiers
- 991019170555604721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Information Science & Library Science