Anna Liednikova

@liednikova

Natural language processing PhD student at LORIA and ALIAE, former ukrainian Erasmus+ student in France

Vrijeme pridruživanja: svibanj 2019.

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  1. prije 21 sat

    Great source of learning before publishing a paper

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  2. proslijedio/la je Tweet
    1. velj

    Curriculum for Reinforcement Learning "Learning is probably the best superpower we humans have." explores four types of curricula that have been used to help RL models learn to solve complicated tasks.

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  3. 1. velj

    If I Hear You Correctly: Building and Evaluating Interview Chatbots with Active Listening Skills

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  4. proslijedio/la je Tweet
    28. sij

    Introducing , a 2.6B-param open-domain chatbot with near-human quality. Remarkably, we show strong correlation between perplexity & humanlikeness! Paper: Sample conversations:

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  5. proslijedio/la je Tweet
    31. sij

    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 , text & images Bye bye Python 2 🙃

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  6. proslijedio/la je Tweet
    27. sij

    Wow, more than 200 NLP datasets – this is gold. Made by Seen:

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  7. proslijedio/la je Tweet
    27. sij

    Retrouvez ce mardi 18h, le Podcast IA 🎙️ sur l'état de l'art du NLP 🤖 avec CTO à . On parlera des applications du NLP, des Transformers ainsi que du niveau d'intelligence des modèles. Le podcast complet sera disponible ici 👉

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  8. proslijedio/la je Tweet
    27. sij

    Transfer learning is increasingly going multilingual with language-specific BERT models: - 🇩🇪 German BERT - 🇫🇷 CamemBERT , FlauBERT - 🇮🇹 AlBERTo - 🇳🇱 RobBERT

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  9. proslijedio/la je Tweet
    27. sij

    The eighth challenge has been announced! Find the Call For Participation here

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    25. sij

    practicalAI is a free tool to discover & organise the top-community created ML content by . It's super easy to create a deck of useful articles and share it with others.

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  11. 24. sij

    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. "

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  12. 22. sij

    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.

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  13. 22. sij

    SentEmoji: A Dataset to Generate Empathising Conversations -

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  14. proslijedio/la je Tweet
    15. sij

    🎉 2019 🎉 was quite the year for Deep Reinforcement Learning. In todays blog post I list my top 10 papers 🦄💻🧠 What was your favourite paper? Let me know!

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  15. proslijedio/la je Tweet
    10. sij

    Now that neural nets have fast implementations, a bottleneck in pipelines is tokenization: strings➡️model inputs. Welcome 🤗Tokenizers: ultra-fast & versatile tokenization led by : -encode 1GB in 20sec -BPE/byte-level-BPE/WordPiece/SentencePiece... -python/js/rust...

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  16. proslijedio/la je Tweet
    8. sij

    I prepared a new notebook for my Deep Learning class: Joint Intent Classification and Slot Filling with BERT: This a step by step tutorial to build a simple Natural Language Understanding system using the voice assistant dataset (English only).

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  17. proslijedio/la je Tweet
    5. sij

    NLP Year in Review — 2019 An extensive list of interesting publications, creative and societal applications, tools and datasets, articles, and resources of 2019 by .

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  19. 23. pro 2019.

    a model to inject the wished 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)

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  20. 14. pro 2019.

    a topic aware context modelling framework by utilizing similar question answer pairs in the repository

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