ETD system

Electronic theses and dissertations repository

 

Tesi etd-01292018-145927


Thesis type
Tesi di laurea magistrale
Author
BRUNO, ANTONIO
URN
etd-01292018-145927
Title
Learning Tree Transductions by Deep Neural Networks
Struttura
INFORMATICA
Corso di studi
INFORMATICA
Commissione
relatore Dott. Bacciu, Davide
Parole chiave
  • treelstm
  • neural network
  • transduction
  • deep learning
  • lstm
  • tree
Data inizio appello
02/03/2018;
Consultabilità
completa
Riassunto analitico
The thesis describes a deep neural network for learning tree-to-tree transductions. The proposed approach uses TreeLSTM models to encode the input as a fixed size vector, followed by a decoding phase that generates the output. Experiments are provided to show how the model can learn structure-to-structure and structure-to-element transductions.
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