Papers Explained 35: XLNet
Autoregressive (AR) language modeling and Autoencoding (AE) are two successful pretraining objectives for neural networks used in transfer learning for NLP. AR language modeling predicts the next word in a sequence based on the previous words, but it cannot handle deep bidirectional context which is important for tasks like sentiment…
Papers Explained 35: XLNet Autoregressive (AR) language modeling and Autoencoding (AE) are two successful pretraining objectives for neural networks used in transfer learning for NLP. AR language modeling predicts the next word in a sequence based on the previous words, but it cannot handle deep bidirectional context which is important for tasks like sentiment… nlp
Papers Explained 35 XLNet Autoregressive AR language modeling Autoencoding AE two successful pretraining objective neural network used transfer learning NLP AR language modeling predicts next word sequence based previous word cannot handle deep bidirectional context important task like sentiment… nlp