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Tytuł artykułu

Distributed storage and recall of sentences

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The human brain is able to learn language by processing written or spoken language. Recently, several deep neural networks have been successfully used for natural language generation. Although it is possible to train such networks, it remains unknown how these networks (or the brain) actually process language. A scalable method for distributed storage and recall of sentences within a neural network is presented. A corpus of 59 million words was used for training. A system using this method can efficiently identify sentences that can be considered reasonable replies to an input sentence. The system first selects a small number of seeds words which occur with low frequency in the corpus. These seed words are then used to generate answer sentences. Possible answers are scored using statistical data also obtained from the corpus. A number of sample answers generated by the system are shown to illustrate how the method works.
Rocznik
Strony
89--101
Opis fizyczny
Bibliogr. 38 poz., rys., wykr.
Twórcy
autor
  • Ernst Moritz Arndt Universität Greifswald, Institut für Mathematik und Informatik Walther- Rathenau-Str. 47, 17487 Greifswald, Germany
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikator YADDA
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