💜⚡️ Sunday Community Spotlight!
Classy: A PyTorch-based library for fast prototyping and sharing of deep neural network models https://t.co/dEMHIyvYZA
👏🏽 Kudos to @Valahaar@luigi_proc & edobobo on your work!
The Rome Workshop on 10 Years of #BabelNet & Multilingual Neurosymbolic Natural Language Understanding will start on Monday with int'l speakers & brainstorming sessions! So excited!!! Register at https://t.co/YnGObh7sfw @ERC_Research@WikiResearch@SapienzaNLP@babelscape#nlproc
Check this out, we have added a @spacy_io component for REBEL to perform end2end Relation Extraction.
Just import it and add it to your pipeline. Extracting relations has never been this easy!
https://t.co/vqRwjktdtH
@spacy_io@edoardo_barba@RNavigli Thanks a lot for this shoutout! And, side note we forgot to mention, the disambiguated words in the @huggingface demo are clickable (and they open up the corresponding Wikipedia page)!
Classy is a @PyTorch-based library for the fast prototyping and sharing of deep neural network models.
It wraps the best libraries like PyTorch Lightning, Transformers, @streamlit and offers them to users with a simple CLI interface.
Try it here: https://t.co/BM6nXI1aUc
Back at #EMNLP2021, while presenting ConSeC, quite a few colleagues asked @edoardo_barba and me “have you tried this extractive formulation on entity disambiguation?” Yes, we were and it’s now an #ACL2022 paper!
Extractive Entity Disambiguation is our (@edoardo_barba@luigi_proc@RNavigli) new paper at #ACL2022! Guess what, we perform ED as a Text Extraction task using only Wikipedia Titles and achieve a new SotA in standard and constrained data regimes.
@ERC_Research#NLProc
Links: ⬇️
Hey #NLProc, with @edoardo_barba we released the checkpoint of ConSeC trained on SemCor+WNGE (83.2 on ALL!). Feel free to play with it at https://t.co/kk8gnWaKrf. Multilingual models and more to come 😉