SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces
@inproceedings{Vani2020SSTBERTAS, title={SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces}, author={K. Vani and S. Mitrovic and Alessandro Antonucci and F. Rinaldi}, booktitle={SemEval@COLING}, year={2020} }
Lexical semantic change detection (also known as semantic shift tracing) is a task of identifying words that have changed their meaning over time. Unsupervised semantic shift tracing, focal point of SemEval2020, is particularly challenging. Given the unsupervised setup, in this work, we propose to identify clusters among different occurrences of each target word, considering these as representatives of different word meanings. As such, disagreements in obtained clusters naturally allow to… CONTINUE READING
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SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection
- Computer Science
- SemEval@COLING
- 2020
- 41
- PDF
References
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