Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis, published at NAACL 2018
Switch branches/tags
Nothing to show
Clone or download
Latest commit 19721cb Oct 30, 2018

README.md

delayed-memory-update-entnet

Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis, published at NAACL 2018

Python-2.7.12
TensorFlow-1.4.1
Numpy-1.14.2
$ python main.py --embedding_file PATH/TO/GLOVE_EMBEDDING_FILE

Note that the code assumes that the first line in the embedding file specifies the vocabulary size and dimension size:

sed -i '1i VOCAB_SIZE DIM_SIZE' PATH/TO/GLOVE_EMBEDDING_FILE
@InProceedings{Liu+:2018,
  author    = {Liu, Fei  and Cohn, Trevor and Baldwin, Timothy},
  title     = {Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis},
  booktitle = {Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
  year      = {2018},
  address   = {New Orleans, USA},
  pages     = {278--283}
}