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}
}