Clustering to find abbreviations

• PLOD-AbbreviationDetection

  1 9 0.0 Jupyter Notebook

  This repository contains the PLOD Dataset for Abbreviation Detection released with our LREC 2022 publication

  

Finally, the main problem with unsupervised learning is that you won't be able to reliably measure system performance or improvement. In my view, any time you can spend annotating and collecting data for a (semi-)supervised solution will be well-spent. Existing datasets can also get you started with model development, such as https://github.com/surrey-nlp/PLOD-AbbreviationDetection. Once you have a good model on a conventional dataset, you should be able to start generalizing it to your specific task/dataset.

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