Sanitize-ml-labels

In this release, I have added support for properly sanitizing hyphenated words by integrating a lookup to a massive 45k vocabulary of hyphenated words in the English language.

Previously, hyphenated words written in the English language with hyphens were incorrectly stripped of their hyphens.

For instance, previously, `non-existent-edges-in-graph` would have become `Non existent edges in graph`. Now we handle the hyphenation correctly, and the result is `Non-existent edges in graph`.

In this release, we have moved the metrics that are normalized in a `[-1, 1]` range from the `[0, 1]` metrics (which of course was the wrong position) to the "absolutely normalized" set of metrics.

Such metrics include so far:

- [Matthews correlation coefficient](https://en.wikipedia.org/wiki/Phi_coefficient)
- [Markedness](https://en.wikipedia.org/wiki/Markedness)

In this new version of sanitize ML labels, I have:

- Added support for more terms to auto normalize
- Removed some metrics wrongly added to the "normalized" set

In this version, we introduce support for COVID19-related acronyms.