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v0.6.0 – Partial supervision

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@LoicGrobol LoicGrobol released this 29 Jul 11:13
· 123 commits to main since this release
9b8b784

This release mainly adds support for training using partially annotated data (materialized in the CoNLL-U files by _ in a column), along with some improvement to tooling and bump of dependencies upper versions.

Added

  • hopsparser evaluate now accepts an optional output argument, allowing to write directly to a
    file if needed.
  • A new script to help catch performances regressions on released models.

Changed

  • We now accept partially annotated CoNLL-U files as input for training: any learnable cell (UPOS,
    HEAD, DEPREL) for which the value is _ will not contribute to the loss.

Full Changelog: v0.5.0...v0.6.0