Francesco Maria Tucci

166 posts

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Francesco Maria Tucci

Francesco Maria Tucci

@FMTucci

CEO and Co-founder of @Babelscape (https://t.co/k6wJ3antgc), multilingual #NLProc enthusiast

Katılım Nisan 2021
19 Takip Edilen27 Takipçiler
Francesco Maria Tucci retweetledi
Rexhina Blloshmi
Rexhina Blloshmi@rexhina_b·
Very cool (outstanding) reality check paper by former advisor @RNavigli and colleague @SimoneTedeschi_ (+a lot of brilliant minds from all over the world)! A call out to everyone to collaborate for fairer and more transparent evaluation in #NLProc! #acl2023 @SapienzaNLP
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Francesco Maria Tucci retweetledi
Babelscape
Babelscape@babelscape·
Thrilled to announce that we received the *outstanding paper award* at ACL 2023 for our paper "What's the meaning of superhuman performance in today's NLU"! #pubs" target="_blank" rel="nofollow noopener">babelscape.com/research#pubs #NLProc #ACL2023 #ACL2023NLP
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SapienzaNLP
SapienzaNLP@SapienzaNLP·
We have 6 papers at #ACL2023 joint with @Babelscape and 2 more papers from the group (more posts later today!) Check them out: nlp.uniroma1.it/posts/22
Babelscape@babelscape

We are presenting 6 research papers on a variety of #NLProc topics (#LLMs, #summarization, #RelationExtraction, #SemanticParsing and alignment) at #ACL2023! Don't miss them! #pubs" target="_blank" rel="nofollow noopener">babelscape.com/research#pubs #ACL2023NLP #NLU

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Pere-Lluís Huguet Cabot
Pere-Lluís Huguet Cabot@PereLluisHC·
I am especially happy about this paper as it was my first time supervising a student. Congrats to @pavlo_vasylenko for his amazing work, very proud of you!
Babelscape@babelscape

Check out our new paper at #ACL2023 on the integration of graph information in Transformer-based semantic parsing.📄 By @Pavlo_Vasylenko, @PereLluisHC, @CarlosMalaga26, @RNavigli #ACL2023NLP #NLProc #AMRParsing @knowgraphs 🧵1/5

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Francesco Maria Tucci retweetledi
Babelscape
Babelscape@babelscape·
💡 Through self-knowledge distillation and word-to-node alignment, we achieve state-of-the-art AMR parsing results. Our experiments demonstrate the effectiveness of our approach. #StateOfTheArt #NLPResearch 🧵4/5
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Roberto Navigli
Roberto Navigli@RNavigli·
mREBEL and more: very proud of the results of this collaborative work between @Babelscape, @SapienzaNLP and @DiceResearch (@NgongaAxel) on #Multilingual #RelationExtraction in the @knowgraphs project! With @PereLluisHC @SimoneTedeschi_ @NgongaAxel
Babelscape@babelscape

📢Check out our new #ACL2023 paper! "REDFM: a Multilingual and Filtered Relation Extraction Dataset" 📄arxiv.org/abs/2306.09802 @PereLluisHC @SimoneTedeschi_ @NgongaAxel and @RNavigli #ACL2023NLP #NLProc #RelationExtraction #MultilingualNLP @knowgraphs 🧵1/7

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Pere-Lluís Huguet Cabot
Pere-Lluís Huguet Cabot@PereLluisHC·
I am very happy to present the multilingual expansion of REBEL at #ACL2023. This work has been a year-long effort to try and provide datasets and models that enable high-quality multilingual Relation Extraction on par with English.
Babelscape@babelscape

📢Check out our new #ACL2023 paper! "REDFM: a Multilingual and Filtered Relation Extraction Dataset" 📄arxiv.org/abs/2306.09802 @PereLluisHC @SimoneTedeschi_ @NgongaAxel and @RNavigli #ACL2023NLP #NLProc #RelationExtraction #MultilingualNLP @knowgraphs 🧵1/7

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Babelscape
Babelscape@babelscape·
🏆When evaluated on BookSum, our LED-based approach achieves state-of-the-art performance (ROUGE-1: 42.13, ROUGE-2: 10.53, and ROUGE-L: 16.75). Our achievement is attained using only 0.1% of the parameters utilized by the GPT-3-based competitor (Wu et al., 2021). 🧵5/6
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