Release 0.2.0 Dev Branch

[ljvmiranda921]

This is a development branch for the Release 0.20 models.
Resolves #47

• Train models
• Write changelog
• Make a version release on GitHub
• Update pointers in the main library.
• Update HuggingFace names in the repository.

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Current changelog

• Included trainable lemmatizer in the pipeline: instead of a rules-based lemmatizer, we are now using the neural edit-tree lemmatizer.
• Trained on UD-NewsCrawl: this is a major update, as we are now training our parser, tagger, and morphologizer components on the larger UD-NewsCrawl treebank. Our training dataset has now increased from 150+ to 15,000! From this point forward, we will be using the UD-TRG and UD-Ugnayan treebanks as test sets (as intended).
• Better evaluations: Aside from evaluating our dependency parser and POS tagger on UD-TRG and UD-Ugnayan, we have also included Universal NER (Mayhew et al., 2023) as our test set for evaluating the NER component.
• Improved base model for tl_calamancy_trf: Based on internal evaluations, we are now using mDeBERTa-v3 (base) as our source of context-sensitive vectors for tl_calamancy_trf.