Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis

Amr El-Desoky Mousa, Björn W. Schuller. Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis. In Mirella Lapata, Phil Blunsom, Alexander Koller, editors, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017, Valencia, Spain, April 3-7, 2017, Volume 1: Long Papers. pages 1023-1032, Association for Computational Linguistics, 2017. [doi]

@inproceedings{MousaS17,
  title = {Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis},
  author = {Amr El-Desoky Mousa and Björn W. Schuller},
  year = {2017},
  url = {http://aclanthology.info/papers/E17-1096/contextual-bidirectional-long-short-term-memory-recurrent-neural-network-language-models-a-generative-approach-to-sentiment-analysis},
  researchr = {https://researchr.org/publication/MousaS17},
  cites = {0},
  citedby = {0},
  pages = {1023-1032},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017, Valencia, Spain, April 3-7, 2017, Volume 1: Long Papers},
  editor = {Mirella Lapata and Phil Blunsom and Alexander Koller},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-945626-34-0},
}