Definition of downstream tasks in NLP











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What does downstream tasks terminology mean in NLP? I saw this terminology used in several articles but I can't understand the idea behind it.










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    What does downstream tasks terminology mean in NLP? I saw this terminology used in several articles but I can't understand the idea behind it.










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      What does downstream tasks terminology mean in NLP? I saw this terminology used in several articles but I can't understand the idea behind it.










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      What does downstream tasks terminology mean in NLP? I saw this terminology used in several articles but I can't understand the idea behind it.







      nlp






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      asked Nov 11 at 12:38









      KF2

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          Basically anything you might want to do with the results of NLP.



          From the intro of one recent article from the arxiv by Christian S. Perone, Roberto Silveira, and Thomas S. Paula:




          Word embeddings are nowadays pervasive on a wide spectrum of Natural Language Processing (NLP) and Natural Language Understanding (NLU) applications. These word representations improved downstream tasks in many domains such as machine translation, syntactic parsing, text classification, and machine comprehension, among other




          to list a few example domains.






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            up vote
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            Basically anything you might want to do with the results of NLP.



            From the intro of one recent article from the arxiv by Christian S. Perone, Roberto Silveira, and Thomas S. Paula:




            Word embeddings are nowadays pervasive on a wide spectrum of Natural Language Processing (NLP) and Natural Language Understanding (NLU) applications. These word representations improved downstream tasks in many domains such as machine translation, syntactic parsing, text classification, and machine comprehension, among other




            to list a few example domains.






            share|improve this answer

























              up vote
              1
              down vote













              Basically anything you might want to do with the results of NLP.



              From the intro of one recent article from the arxiv by Christian S. Perone, Roberto Silveira, and Thomas S. Paula:




              Word embeddings are nowadays pervasive on a wide spectrum of Natural Language Processing (NLP) and Natural Language Understanding (NLU) applications. These word representations improved downstream tasks in many domains such as machine translation, syntactic parsing, text classification, and machine comprehension, among other




              to list a few example domains.






              share|improve this answer























                up vote
                1
                down vote










                up vote
                1
                down vote









                Basically anything you might want to do with the results of NLP.



                From the intro of one recent article from the arxiv by Christian S. Perone, Roberto Silveira, and Thomas S. Paula:




                Word embeddings are nowadays pervasive on a wide spectrum of Natural Language Processing (NLP) and Natural Language Understanding (NLU) applications. These word representations improved downstream tasks in many domains such as machine translation, syntactic parsing, text classification, and machine comprehension, among other




                to list a few example domains.






                share|improve this answer












                Basically anything you might want to do with the results of NLP.



                From the intro of one recent article from the arxiv by Christian S. Perone, Roberto Silveira, and Thomas S. Paula:




                Word embeddings are nowadays pervasive on a wide spectrum of Natural Language Processing (NLP) and Natural Language Understanding (NLU) applications. These word representations improved downstream tasks in many domains such as machine translation, syntactic parsing, text classification, and machine comprehension, among other




                to list a few example domains.







                share|improve this answer












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                share|improve this answer










                answered Nov 11 at 12:46









                kabanus

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                10.9k21237






























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