Pappas Dimitris retweeted
📢Now available the much anticipated and greatly needed: 🆕Meltemi (/meltémi/), the first open-source Greek LLM trained by #ILSP of @athenaRICinfo . Read more: medium.com/institute-for-lan…
Pappas Dimitris retweeted
If you are an enthusiast of AI don't miss the opportunity to learn all the details about our AI Living Lab and tools in its final event!😃
When❓ Next November 27th
Registrations and more info 👉 intelcomp.eu/events/intelcom…
#BepartofIntelComp #H2020 #policymaking #data
Pappas Dimitris retweeted
AUEB NLP Group meeting, *Fri* 16 Sept, 17:00-19:00 (remotely): Dimitris Pappas presenting the work of his PhD thesis, titled "Biomedical Question Answering Systems". Pre-defence presentation to his 3-member committee, all welcome. @dvpappas
teams.microsoft.com/l/meetup…
Pappas Dimitris retweeted
"A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections", D. Pappas & I. Androutsopoulos. ACL 2021, main conference, session 11D (Tuesday). aclanthology.org/2021.acl-lo… #ACL2021NLP @dvpappas @ionandrou
Pappas Dimitris retweeted
Humans learn by doing - Language Models such as BERT are pretrained to predict masked words and then fine-tuned on the target task. We propose another step where we train the language model on a multiple diverse set of tasks before fine-tuning. Paper: arxiv.org/abs/2103.08809?utm… #NLP
Pappas Dimitris retweeted
Last week, EleutherAI released two checkpoints for GPT Neo, an *Open Source* replication of OpenAI's GPT-3
These checkpoints, of sizes 1.3B and 2.7B are now available in🤗Transformers!
The generation capabilities are truly🤯, try it now on the Hub: huggingface.co/EleutherAI/gp…
Pappas Dimitris retweeted
BioMRC now available in @huggingface! @dvpappas @PetrosStav @AUEBNLPGroup huggingface.co/nlp/viewer/?d…
"BIOMRC: A Dataset for Biomedical Machine Reading Comprehension", with @PetrosStav @dvpappas and R. McDonald. To be presented at BioNLP 2020. arxiv.org/abs/2005.06376
Pappas Dimitris retweeted
An Experimental Document & Snippet Retrieval Search Engine for the CORD-19 (COVID-19) dataset, based on our best BioASQ7 system. #COVID19 @allen_ai @BioASQ
Online demo: cslab241.cs.aueb.gr:5000/
Papers: nlp.cs.aueb.gr/pubs/aueb_at_… nlp.cs.aueb.gr/pubs/emnlp201…
Code: github.com/nlpaueb/aueb-bioa…
Pappas Dimitris retweeted
We just launched a @kaggle challenge focused on open #COVID19 research questions, including data set of 29,000 relevant papers to help: kaggle.com/allen-institute-f…
Thanks White House @WHOSTP @allen_ai @NIH @Microsoft @Georgetown @ChanZuckerberg for rapid collaboration on data
Pappas Dimitris retweeted
With @AUEBNLPGroup, we released a Greek edition of BERT that you can literally use with 2 lines of code via @huggingface transformers for both @PyTorch / @TensorFlow. Thanks TensorFlow Research Cloud (TFRC) for supporting our research. 🤗🇬🇷See details at github.com/nlpaueb/greek-ber…
Pappas Dimitris retweeted
Team from AUEB's Department of Informatics wins BioASQ prize
aueb.gr/en/content/team-aueb…
#aueb100
Pappas Dimitris retweeted
The slides of my @eurnlp talk on node embeddings are now at www2.aueb.gr/users/ion/docs/…. The video of the talk can be found at facebook.com/eurnlp/ (Session 2, after J. Nivre, B. Webber).
Pappas Dimitris retweeted
Congratulations to all winners of @BioASQ tasks 7a and 7b! The final results are now available here bioasq.org/participate/sevet…
Pappas Dimitris retweeted
The program for the @BioASQ 2019 workshop at @ECMLPKDD 2019 now available here: bioasq.org/workshop/program
Pappas Dimitris retweeted
Facebook AI researchers are sharing an all-attention layer to simplify the Transformer model and an adaptive attention span method to make it more efficient. Even with a much simpler architecture, these methods match or improve state-of-the-art results. ai.facebook.com/blog/making-…
Pappas Dimitris retweeted
PyTorch 1.2 release: New TorchScript API; Expanded Onnx Export; NN.Transformer reddit.com/r/MachineLearning…
Pappas Dimitris retweeted
"Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors", Kotitsas, Pappas, Androutsopoulos, McDonald, Apidianaki. BioNLP at ACL-2019. arxiv.org/abs/1906.05939
Pappas Dimitris retweeted
Dimitris Pappas will present his PhD thesis proposal on Biomedical Question Answering on Friday 22/2, 15:30-17:00, Troias building, room T103. All welcome.
Pappas Dimitris retweeted
Such a ridiculously simple idea couldn't possibly work, could it?
Or... could it?...
github.com/dperezrada/eviden…
Pappas Dimitris retweeted
Team from AUEB's Department of Informatics wins BioASQ prize
aueb.gr/en/content/team-aueb…
