tldr-transformers VS lemmatization-lists

With the explosion in research on all things transformers, it seemed there was a need to have a single table to distill the "tl;dr" of each paper's contributions relative to each other. Here is what I got so far: https://github.com/will-thompson-k/tldr-transformers . Would love feedback - and feel free to contribute too :)

In any case, I'm liking the first glance so far. I'd just transpose the summary tables so they wouldn't get so tightly squeezed: https://github.com/will-thompson-k/tldr-transformers/blob/main/notes/bart.md

With the explosion in work on all things transformers, I felt the need to keep a single table of the "tl;dr" of various papers to distill their main takeaways: https://github.com/will-thompson-k/tldr-transformers . Would love feedback!

It's a bit of a massive undertaking maintaining such a data set so it's mostly taken from https://github.com/michmech/lemmatization-lists At the top of the file you'll see some additional I've added to deal with personal pronouns and numbers.

Another one to add to your list: https://github.com/michmech/lemmatization-lists

One approach might be to take a lemmatization list, like the lemma-token lists at https://github.com/michmech/lemmatization-lists/, and compile it into a Finite State Transducer. The Helsinki FST package, for instance, has an hfst-strings2fst command to compile pairs of strings into a transducer. You might need to do some reformatting of the input first.