Reza Javadzadeh

@reza_jzadeh

| PhD student at Shahrood UT | Sentence Similarity Assessment

Iran
Vrijeme pridruživanja: rujan 2015.

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  1. prije 6 sati

    Organizers of data science and machine learning conferences (NeurIPS, ICML, AISTATS, ICLR, UAI, ...): Allow remote paper & poster presentations at conferences - Sign the Petition! via

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  2. 30. sij

    Hey, I started a channel reviewing recent articles about NLP why don't you join my channel:

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  3. 9. sij

    I thought I'm a good researcher but amazing researches and discussions in showed that I've barely scratched the surface, showed me what I'm missing out, thank you

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  4. 24. pro 2019.

    I wish more journals ask the authors to share their code or at least upload it for a test run by reviewers, sometimes I waste a lot of time on a work that lacks reproducibility due to missing information. Sharing code is a way forward in computer science

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  5. 14. pro 2019.

    I recently read a paper about computing a coefficient for each word in a sentence to provide sentence representation. Great statistics and great results, but I personally think sentences are more than just a weighted vector of words, otherwise it'll stop working at some point.

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  6. 14. pro 2019.

    while the approach (Word2Set: a new WordNet measure) is interesting, a few drawbacks: *they've not provided values for reviewed methods in the figures *nor provided any textual description analysis whatsoever

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  7. 29. stu 2019.
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  8. 10. kol 2019.

    Clever refinements and ideas to introduce a creative way of integrating deep network-based features with n-grams.

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  9. 6. kol 2019.

    Great paper and very innovative, now can we somehow learn p(question, answer | context)? cuz then It'd be language-independent

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  10. 6. kol 2019.

    A brief review of "Deep Learning in Spoken and Text-Based Dialog Systems", I'd recommend it, especially if you know the basics of . Basically, it gets you familiar with both the concepts and current progress

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

    Nice overview of recent dialogue research. New datasets & methods for responding with knowledge, consistency, emotions... plus online learning! Also mentions our paper on controlling and evaluating aspects of chitchat dialogue:

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