Title
Semantic Parsing: Syntactic assurance to target sentence using LSTM Encoder CFG-Decoder.
Abstract
Semantic parsing can be defined as the process of mapping natural language sentences into a machine interpretable, formal representation of its meaning. Semantic parsing using LSTM encoder-decoder neural networks have become promising approach. However, human automated translation of natural language does not provide grammaticality guarantees for the sentences generate such a guarantee is particularly important for practical cases where a data base query can cause critical errors if the sentence is ungrammatical. In this work, we propose an neural architecture called Encoder CFG-Decoder, whose output conforms to a given context-free grammar. Results are show for any implementation of such architecture display its correctness and providing benchmark accuracy levels better than the literature.
Year
Venue
DocType
2018
CoRR
Journal
Volume
Citations 
PageRank 
abs/1807.07108
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Fabiano Ferreira Luz100.68
Marcelo Finger23010.09