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The UCD-Net System at SemEval-2020 Task 1: Temporal Referencing with Semantic Network Distances
Author(s)
Date Issued
2020-12
Date Available
2024-05-02T15:45:52Z
Abstract
This paper describes the UCD system entered for SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection. We propose a novel method based on distance between temporally referenced nodes in a semantic network constructed from a combination of the time specific corpora. We argue for the value of semantic networks as objects for transparent exploratory analysis and visualisation of lexical semantic change, and present an implementation of a web application for the purpose of searching and visualising semantic networks. The results of the change measure used for this task were not among the best performing systems, but further calibration of the distance metric and backoff approaches may improve this method.
Sponsorship
Enterprise Ireland
European Commission
Type of Material
Conference Publication
Publisher
International Committee for Computational Linguistics
Language
English
Status of Item
Peer reviewed
Journal
Herbelot, A., Zhu, X., Palmer, X., Schneider, N., May, J., Shutova, E. (eds.). Proceedings of the Fourteenth Workshop on Semantic Evaluation
Conference Details
The 14th International Workshop on Semantic Evaluation (SemEval 2020), Barcelona, Spain (held online due to coronavirus outbreak), 12 December 2020
This item is made available under a Creative Commons License
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Name
Nulty2020(1).pdf
Size
276.92 KB
Format
Adobe PDF
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