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Blokirali ste korisnika/cu @reza_jzadeh
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Organizers of data science and machine learning conferences (NeurIPS, ICML, AISTATS, ICLR, UAI, ...): Allow remote paper & poster presentations at conferences - Sign the Petition! http://chng.it/sxjBWhRK via
@ChangeAUSHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hey, I started a channel reviewing recent articles about NLP why don't you join my channel: https://www.youtube.com/watch?v=LjVVDcqyfYQ …
#nlp#deeplearning#nn#neuralnetwork#research#nerHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
I thought I'm a good researcher but amazing researches and discussions in
#NeurIPS showed that I've barely scratched the surface, showed me what I'm missing out, thank youHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
while the approach (Word2Set: a new WordNet measure) is interesting, a few drawbacks: https://ieeexplore.ieee.org/document/8686355/ … *they've not provided values for reviewed methods in the figures *nor provided any textual description analysis whatsoever
#research#deeplearning#wordnet#similarityHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Clever refinements and ideas to introduce a creative way of integrating deep network-based features with n-grams.
#nlp#deeplearning#nli#similarity#stshttps://twitter.com/ehuscientia/status/1151363398959030272 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Great paper and very innovative, now can we somehow learn p(question, answer | context)? cuz then It'd be language-independenthttps://twitter.com/PSH_Lewis/status/1139187120877293568 …
0:38Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
A brief review of "Deep Learning in Spoken and Text-Based Dialog Systems", I'd recommend it, especially if you know the basics of
#DeepLearning. Basically, it gets you familiar with both the concepts and current progress https://link.springer.com/chapter/10.1007/978-981-10-5209-5_3 …#AI#Springer#nlp#chatbotsHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Reza Javadzadeh proslijedio/la je Tweet
Nice overview of recent
@facebookai 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: https://arxiv.org/abs/1902.08654#NLProc#AIhttps://twitter.com/facebookai/status/1157339453771247617 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Reza Javadzadeh proslijedio/la je Tweet
What Does BERT Look At? An Analysis of BERT's Attention Clark et al.: https://arxiv.org/abs/1906.04341
#ArtificialIntelligence#DeepLearning#NLP#NaturalLanguageProcessing#AI#MachineLearningpic.twitter.com/4JdRwqL1fY
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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