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Great source of learning before publishing a paper https://openreview.net/
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Anna Liednikova proslijedio/la je Tweet
Curriculum for Reinforcement Learning "Learning is probably the best superpower we humans have."
@lilianweng explores four types of curricula that have been used to help RL models learn to solve complicated tasks. https://lilianweng.github.io/lil-log/2020/01/29/curriculum-for-reinforcement-learning.html …pic.twitter.com/UTWHt9l3ng
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If I Hear You Correctly: Building and Evaluating Interview Chatbots with Active Listening Skills https://www.ziangxiao.com/paperPDF/If_I_Hear_You_Correctly.pdf …
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Anna Liednikova proslijedio/la je Tweet
Introducing
#MeenaBot, a 2.6B-param open-domain chatbot with near-human quality. Remarkably, we show strong correlation between perplexity & humanlikeness! Paper: https://arxiv.org/abs/2001.09977 Sample conversations: https://github.com/google-research/google-research/tree/master/meena … https://twitter.com/GoogleAI/status/1222230622355087360 …pic.twitter.com/3xNSV4r4uB
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Anna Liednikova proslijedio/la je Tweet
Transformers 2.4.0 is out
- Training transformers from scratch is now supported
- New models, including *FlauBERT*, Dutch BERT, *UmBERTo*
- Revamped documentation
- First multi-modal model, MMBT from @facebookai, text & images Bye bye Python 2
https://github.com/huggingface/transformers/releases …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Anna Liednikova proslijedio/la je Tweet
Wow, more than 200 NLP datasets – this is gold. https://quantumstat.com/dataset/dataset.html … Made by
@Quantum_Stat Seen:@pandeyparulpic.twitter.com/ZDxazkBLOp
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Anna Liednikova proslijedio/la je Tweet
Retrouvez ce mardi 18h, le Podcast IA
sur l'état de l'art du NLP
avec @julien_c CTO à@huggingface . On parlera des applications du NLP, des Transformers ainsi que du niveau d'intelligence des modèles. Le podcast complet sera disponible ici
https://youtu.be/RL8QQk-LJp8 pic.twitter.com/1ShWuSVansHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Anna Liednikova proslijedio/la je Tweet
Transfer learning is increasingly going multilingual with language-specific BERT models: -
German BERT https://deepset.ai/german-bert
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CamemBERT https://arxiv.org/abs/1911.03894 , FlauBERT https://arxiv.org/abs/1912.05372
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AlBERTo http://ceur-ws.org/Vol-2481/paper57.pdf …
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RobBERT https://arxiv.org/abs/2001.06286 Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Anna Liednikova proslijedio/la je Tweet
The eighth
@BioASQ challenge has been announced! Find the Call For Participation here http://www.bioasq.org/news/BioASQ8CallForParticipation …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Anna Liednikova proslijedio/la je Tweet
practicalAI is a free tool to discover & organise the top-community created ML content by
@GokuMohandas. It's super easy to create a deck of useful articles and share it with others.https://practicalai.me/explore/content/ …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
It may be secretary GPT-2 me "My particular interest has been in applying it to my personal chat data, so I can talk to arbitrary friends and more importantly myself whenever I want to. "https://svilentodorov.xyz/blog/gpt-15b-chat-finetune/ …
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Telegram chatbot is built around DialoGPT - a large-scale pretrained dialogue response generation model trained by Microsoft, which was trained on 147M multi-turn dialogue from Reddit discussion thread. https://github.com/polakowo/gpt2bot …pic.twitter.com/NGfxxm5Xoc
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SentEmoji: A Dataset to Generate Empathising Conversations - https://goo.gl/scholar/z7vaeE
#ScholarAlertsHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Anna Liednikova proslijedio/la je Tweet
2019
was quite the year for Deep Reinforcement Learning. In todays blog post I list my top 10 papers 

https://roberttlange.github.io/posts/2019/12/blog-post-9/ … What was your favourite paper? Let me know!pic.twitter.com/CqD4PqjEKV
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Anna Liednikova proslijedio/la je Tweet
Now that neural nets have fast implementations, a bottleneck in pipelines is tokenization: strings
model inputs.
Welcome
Tokenizers: ultra-fast & versatile tokenization led by @moi_anthony: -encode 1GB in 20sec -BPE/byte-level-BPE/WordPiece/SentencePiece... -python/js/rust...pic.twitter.com/1TfJ1Hm1xx
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Anna Liednikova proslijedio/la je Tweet
I prepared a new notebook for my Deep Learning class: Joint Intent Classification and Slot Filling with BERT: https://nbviewer.jupyter.org/github/m2dsupsdlclass/lectures-labs/blob/master/labs/06_deep_nlp/Transformers_Joint_Intent_Classification_Slot_Filling_rendered.ipynb … This a step by step tutorial to build a simple Natural Language Understanding system using the
@snips voice assistant dataset (English only).Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Anna Liednikova proslijedio/la je Tweet
NLP Year in Review — 2019 An extensive list of interesting publications, creative and societal applications, tools and datasets, articles, and resources of 2019 by
@omarsar0.https://medium.com/dair-ai/nlp-year-in-review-2019-fb8d523bcb19 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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a model to inject the wished
#emotion to direct the response generation if the user says: “I just missed my deadline", it could be “I am sorry to hear that.” (sadness) or “You should never do it again!” (anger)#NLP#NLProc https://www.aclweb.org/anthology/N18-2008.pdf …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
a topic aware context modelling framework by utilizing similar question answer pairs in the repositoryhttps://link.springer.com/chapter/10.1007/978-3-030-36718-3_33 …
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