Giacomo Frisoni (@giacomofrisoni) 's Twitter Profile
Giacomo Frisoni

@giacomofrisoni

PhD Student @ Unibo | Text Mining, Natural Language Understanding, Neural-Symbolic Learning

ID: 405020606

calendar_today04-11-2011 18:52:46

1,1K Tweet

57 Followers

165 Following

HHChaos (@h2chaos) 's Twitter Profile Photo

I spent a little time editing the readme documentation, and now I am announcing that Drawing Studio is open source on github! 🐱‍🏍#uwpdev #Machinelearning #ML.NET github.com/HHChaos/Drawin…

Vito Macina (@vitomacina) 's Twitter Profile Photo

New Award, New Adventures😃Proud to be in this wonderful family and represent Italy together with 67 other experts 👨‍💻👩‍💻 #MicrosoftMVP #MVPBuzz

New Award, New Adventures😃Proud to be in this wonderful family and represent Italy together with 67 other experts 👨‍💻👩‍💻 #MicrosoftMVP #MVPBuzz
Giacomo Frisoni (@giacomofrisoni) 's Twitter Profile Photo

I am excited to share with you my first publication with which I recently won the 𝗕𝗲𝘀𝘁 𝗣𝗮𝗽𝗲𝗿 𝗔𝘄𝗮𝗿𝗱 at DATA 2020 lnkd.in/dygjPqH Capture the voice of patients with NLP techniques from social posts #NLP #TextMining #AI #DataScience #R #Python #RareDiseases

Sumit (@_reachsumit) 's Twitter Profile Photo

To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering Proposes a sota generative framework for medical QA that generates contexts instead of retrieving information from external sources. 📝arxiv.org/abs/2403.01924

To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering

Proposes a sota generative framework for medical QA that generates contexts instead of retrieving information from external sources.

📝arxiv.org/abs/2403.01924
Pedram Hosseini (@pedramhosseini) 's Twitter Profile Photo

🧵(5/N) MedGENIE is a generate-then-read framework (an alternative to a retrieve-then-read paradigm such as RAG) for medical multiple-choice question answering. I appreciate the authors' taste in choosing their paper’s title based on Hamlet’s dilemma, as they also mention in

🧵(5/N) MedGENIE is a generate-then-read framework (an alternative to a retrieve-then-read paradigm such as RAG) for medical multiple-choice question answering.

I appreciate the authors' taste in choosing their paper’s title based on Hamlet’s dilemma, as they also mention in