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SSCORE: Semantic Similarity Matching Using Contextualized Representations

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SSCORE: Semantic Similarity Matching Using Contextualized Representations

Poetry

pypoetry doc is very well written and detailed.

First, be sure to not be in a virtual env.

To install poetry with the right version : curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | POETRY_VERSION=1.1.6 python (on Windows, from PowerShell) (Invoke-WebRequest -Uri https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py -UseBasicParsing).Content | POETRY_VERSION=1.1.6 python -

By default, poetry will create a virtualenv in a cache-dir folder. To have it created in the repository, under a .venv folder, you need to first run poetry config virtualenvs.in-project true (https://python-poetry.org/docs/configuration/#virtualenvsin-project-boolean). Then go to our repository, and run poetry install. It will create a virtualenv that can be used in PyCharm, with all the dependencies needed.

Citation

@inproceedings{farahnak2021semantic,
  title     = {Semantic Similarity Matching Using Contextualized Representations},
  author    = {Farahnak, Farhood and Mohammadi, Elham and Davari, MohammadReza and Kosseim, Leila},
  booktitle = {Proceedings of The 34th Canadian Conference on Artificial Intelligence (Canadian AI 2021)},
  address   = {Vancouver, Canada (Online)},
  year      = {2021},
  month     = {May},
}

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SSCORE: Semantic Similarity Matching Using Contextualized Representations

License:MIT License