LSTMs Exploit Linguistic Attributes of Data

Rep4NLP@ACL, pp. 180-186, 2018.

Cited by: 14|Views35
EI

Abstract:

While recurrent neural networks have found success in a variety of natural language processing applications, they are general models of sequential data. We investigate how the properties of natural language data affect an LSTMu0027s ability to learn a nonlinguistic task: recalling elements from its input. We find that models trained on na...More

Code:

Data:

Your rating :
0

 

Tags
Comments