So happy about this!

#NLPaperAlert: "Entity Disambiguation with Entity Definitions" presented today at #EACL2023 @eaclmeeting By @luigi_proc @ConiaSimone @edoardo_barba @RNavigli @SapienzaNLP Paper: https://t.co/52aYXadIbU #NLProc #AI

BTW.... dalle-mega from @borisdayma is now openly accessible on @huggingface ⚡️ To download it (10GB): git clone https://t.co/m8ivn0CPiH

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

Super happy that our DiBiMT paper got recognized as the Best Resource Paper @aclmeeting #ACL2022! 🥳🎉 A (not so) short 🧵 about it :) 👇 Joint work with @FedeMartelli25 @FrancescoSaina @RNavigli 📜: https://t.co/MJI13hgOID 1/7

#ACL2022 is only 1 month away!☘️ Happy to share 3 papers I (co-)authored on #SemanticRoleLabeling, #EmotionClassification & #WordSenseDisambiguation! Always a pleasure working with @RNavigli, @MicheleBevila20, @MarcoMaru3, @caesar_one_ & @SapienzaNLP. 🧵Thread [1/n]

#NLPaperAlert 📢 We bring together existing resources, revise them, and propose SRL4E, a unified evaluation on Semantic Role Labeling 4 Emotions! Read our #ACL2022 preprint: https://t.co/Wnqe4waMUD By @caesar_one_ @ConiaSimone @RNavigli + @ERC_Research @EuroLangTech #NLProc

Open & commercial Neural Machine Translation models heavily suffer from disambiguation biases! We present DiBiMT, our novel benchmark for lexical-semantic bias in MT at #ACL2022! By @Valahaar @FedeMartelli25 @FrancescoSaina @RNavigli @ELEXIS_EU #NLProc 📝: https://t.co/8A8TN1DABj

#NLPaperAlert 📢: where do language models encode predicate-argument structure information? And how to use it in multilingual Semantic Role Labeling? Find out more in our #ACL2022 paper! #NLProc 📝: https://t.co/8Oa3lkLRs0 By @ConiaSimone @RNavigli + @ERC_Research @EuroLangTech

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

We analyzed current Word Sense Disambiguation #WSD systems so that you don’t have to 🔍. There is a hard core that no system can solve! 😱 #NLProc Read our #ACL2022 paper: https://t.co/xSoh3D7Etc By @MarcoMaru3 @ConiaSimone @MicheleBevila20 @RNavigli + @ERC_Research @elexis_eu

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!

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 😉

Hey, #NLProc if I create a library with recent SOTA models for WSD and Entity Linking (implementation and checkpoints). Would you use it?

It is here. General release is still scheduled for April 4.

Last week remote working with @edoardo_barba and @Valahaar: skiing in the Alps while checking runs with @weights_biases

🚨 classy v0.1.0 is out 🚨 You can setup NLP experiments even faster than before, with some cool additional features for free (streamlit demo, prediction, support for custom evaluation)! @Valahaar @luigi_proc and I even wrote the docs 🙄 (thanks @Docusaurus)

.@edoardo_barba & @luigi_proc presenting word sense disambiguation by integrating a feedback loop into a DeBERTA-based model that picks out the right definition. #EMNLP2021 #NLProc