Hicham EL BOUKKOURI

@helboukkouri

I'm a PhD student working on and Word Embeddings at (France). Before that, I studied at and interned at .

Vrijeme pridruživanja: studeni 2018.

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  1. proslijedio/la je Tweet
    28. sij

    New paper: Towards a Human-like Open-Domain Chatbot. Key takeaways: 1. "Perplexity is all a chatbot needs" ;) 2. We're getting closer to a high-quality chatbot that can chat about anything Paper: Blog:

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  2. proslijedio/la je Tweet
    13. sij

    🔥 Introducing Tokenizers: ultra-fast, extensible tokenization for state-of-the-art NLP 🔥 ➡️

    , , i još njih 3
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  3. proslijedio/la je Tweet
    9. pro 2019.

    post-weekend ACL paper status

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  4. proslijedio/la je Tweet
    1. pro 2019.
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  5. proslijedio/la je Tweet
    29. stu 2019.

    Open-sourcing a community-focused library basically means you'll keep fighting with a bunch of well-intentioned people who want to morph your simple code in a cathedral of complex and smart abstractions. Writing easy-to-read, simple-to-use code is an under-rated skill.

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  6. proslijedio/la je Tweet

    We release: CamemBERT: a Tasty French Language Model (soon on arxiv) CamemBERT is trained on 138GB of French text. It establishes a new state of the art in POS tagging, Dependency Parsing and NER, and achieves strong results in NLI. Bon appétit ! [1/3]

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  7. proslijedio/la je Tweet
    25. lis 2019.

    This is my favorite tweet of all time 🙂I got quite a few new followers so thought I'd share it with you One thing I would add is that `l` and `ll` give you context around the line where exception was raised.

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  8. proslijedio/la je Tweet

    Captum is a state-of-the-art model interpretability library for PyTorch, with algorithms including Integrated Gradients and DeepLIFT. It’s available now on GitHub.

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  9. proslijedio/la je Tweet
    24. lis 2019.

    The new study by et al. provides a great overview of best practices in the current transfer learning landscape in NLP. Check out page 33 of the paper or below for the main takeaways.

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  10. 21. lis 2019.

    Very interesting work by & UCL for analysing the factual and common-sense knowledge that is available in large language models such as BERT, ELMo or GPT-2. Paper: GitHub:

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  11. proslijedio/la je Tweet

    🎉 The wait is over! TensorFlow 2.0 is finally here. Driven by community feedback, this release provides a complete set of tools for developers, enterprises, and researchers to easily build ML applications. Read the blog ↓

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  12. proslijedio/la je Tweet
    25. ruj 2019.

    AllenNLP v0.9.0 is released today. AllenNLP Interpret is the headline feature. We also now have full compatibility with pytorch-transformers from , including RoBERTa (GPT2 and BERT are backing the LM and masked LM in the demos linked below).

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  13. proslijedio/la je Tweet
    2. kol 2019.

    Yulia Tsvetkov talks about continuous modeling of output spaces (vs. a discrete softmax) at RepL4NLP

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  14. proslijedio/la je Tweet
    31. srp 2019.

    Thanks to all participants, presenters and volunteers! See you in Seattle for ACL 2020

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  15. 29. srp 2019.

    The ACL proceedings are finally out! This means I can finally share with you my paper about improving word embeddings for the biomedical domain: Also, this is the code for reproducing the experiments:

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  16. proslijedio/la je Tweet
    28. srp 2019.

    The tutorial on Unsupervised Cross-lingual learning. , Andreas Soggard, and Ivan Vulic. An important topic.

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  17. proslijedio/la je Tweet
    12. srp 2019.

    📺 THE VIDEOS FROM ARE NOW LIVE! And we don't mind saying, they turned out great. Here's 12 talks about NLP research, development and applications. Summaries and links in the thread 👇

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  18. proslijedio/la je Tweet

    Facebook AI and researchers have built Pluribus, the first AI bot to beat elite poker pros in 6 player Texas Hold’em. This breakthrough is the first major benchmark outside of 2 player games and we’re sharing specifics on how we built it.

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  19. proslijedio/la je Tweet
    20. lip 2019.
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  20. proslijedio/la je Tweet
    19. lip 2019.

    “Super interesting, but why would this ever be useful?” is the best feedback I can hope for in research.

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