@Valahaar

Decoding the future @ Litus AI ~ NLP PhD @ Sapienza - Engineer at heart - he/him.

 Roma
Joined January 2012
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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 📜: aclanthology.org/2022.acl-lo… 1/7

DiBiMT: A Novel Benchmark for Measuring Word Sense Disambiguation Biases in Machine Translation

Niccolò Campolungo, Federico Martelli, Francesco Saina, Roberto Navigli. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2022.

aclanthology.org
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Valentino Maiorca@ValeMaiorca8 Feb 2023
📢 It looks like relative representations are here to stay! I'm beyond thrilled to announce that our work has been selected as one of the notable top 5% (oral) papers at #iclr23 ! 🥳 xitter.cf/moschella_luca/status/… [1/5]
Luca Moschella@moschella_luca6 Oct 2022
Welcome Relative Representations, enabling zero-shot communication between latent spaces without any training! arxiv.org/abs/2209.15430 It turns out that distinct neural networks learn intrinsically equivalent latent spaces [1/6]
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SapienzaNLP@SapienzaNLP7 Dec 2022
We reframe #MT evaluation as sequence tagging in our #WMT2022 paper: check MaTESe, an interpretable metric that tags error spans in translations! 📜 statmt.org/wmt22/pdf/2022.wm… By @19Stefano97 @LorenzoProiet13 @alescire94 @Valahaar @RNavigli @babelscape @ERC_Research #EMNLP2022
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Great to wake up on a lazy Sunday and see REBEL is still doing numbers. This is the page for top seq2seq models at @huggingface, currently top 12 with 200K monthly downloads. Thank you to whomever is using it and honestly curious to know what people are using it for.
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SapienzaNLP@SapienzaNLP13 Jul 2022
Interested in reducing semantic bias in NMT models with smart data creation & the KL divergence? Come check out the work by @Valahaar, @pasini_t, @emelin_denis & @RNavigli! Presentation today @ 9.15 PDT / 18.15 CET, session 8D (MT 3) #NAACL2022 📝 aclanthology.org/2022.naacl-…
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machine learning researchers learn to optimise their own best paper rate through collusion and other unregulated mechanisms reddit.com/r/MachineLearning…
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Riccardo Orlando@RiccardoRicOrl7 Jul 2022
Hey #NLProc, I built this little tool to make working with @huggingface 🤗Transformers a bit easier. If you want to directly access whole-word embeddings hassle-free, give it a try! 👉GitHub: github.com/Riccorl/transform…
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Roberto Navigli@RNavigli6 Jul 2022
The Rome Workshop on 10 Years of #BabelNet & Multilingual Neurosymbolic Natural Language Understanding was a great success, with productive in-person discussions, amazing talks & >100 online participants! Thanks! @ERC_Research @Babelscape @SapienzaNLP @SapienzaRoma @WikiResearch
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Babelscape@babelscape6 Jul 2022
🎉10 Years of #BabelNet Workshop is now over: what a great experience!🎉 Thanks to everyone who participated both in person and online! @SapienzaNLP @babelscape @ERC_Research @AccademiaCrusca @RNavigli #workshop @WikiResearch #BabelNet10anniversary
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I have never clapped my hands as much as I have at the @aclmeeting 2022 Closing Remaks 😂 thank you Bernardo! #ACL2022
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Iacobacci et al.@iiacobacNLP25 May 2022
Bravo ragazzi
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Presenting in front of a live audience was an amazing experience :) hope we nailed it! Thanks @aclmeeting
ACL 2027@aclmeeting25 May 2022
#acl2022 nlp Best Resource Paper DiBiMT: A Novel Benchmark for Measuring Word Sense Disambiguation Biases in Machine Translation (Niccolò Campolungo, Federico Martelli, Francesco Saina and Roberto Navigli) #acl2022 #NLProc
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SapienzaNLP@SapienzaNLP17 May 2022
🥳 We are proud to share the news that our DiBiMT paper on Disambiguation Biases in MT received the ✨Best Resource Paper Award✨ @aclmeeting #ACL2022! See you there!
SapienzaNLP@SapienzaNLP6 Apr 2022
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 📝:researchgate.net/publication…
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- (neural) models are pretty confident of their incorrect translations: >90% of the time, they deem their BAD❌ translation better than a GOOD ✅ one! - In neural Transformer models, disambiguation does not seem to be happening on the encoder side 🤔 6/7
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We will present DiBiMT on the 25th, during the Best Paper Oral Session at 14.45 Dublin time! Or, you can come have a chat during Poster Session 6: Resources and Evaluation on the same day, from 10:45 to 12:15! Come say hi 👋😄 7/7
Niccolò Campolungo retweeted
Michele Bevilacqua@MicheleBevila2017 May 2022
So proud that my former labmates at @SapienzaNLP have been awarded the Best Resource Paper at the #ACL2022 for their work on benchmarking disambiguation in MT! Congrats @Valahaar @FedeMartelli25 @FrancescoSaina @RNavigli
ACL 2027@aclmeeting16 May 2022
The Best Paper Awards have just been announced! Congratulations to the authors for their fine work! 2022.aclweb.org/best-paper-a…
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