RNN using GRU cells to generate text; trained on a collection of scientific articles and imdb reviews.

Large Movie dataset can me found here: http://ai.stanford.edu/~amaas/data/sentiment/

Special Thanks for the SentenceCorpus dataset,

[1] S. Teufel and M. Moens. Summarizing scientific articles: experiments with relevance and rhetorical status. Computational Linguistics, 28(4):409-445, 2002. [2] S. Teufel. Argumentative zoning: information extraction from scientific text. PhD thesis, School of Informatics, University of Edinburgh, 1999.

and for the imdb reviews,

@InProceedings{maas-EtAl:2011:ACL-HLT2011, author = {Maas, Andrew L. and Daly, Raymond E. and Pham, Peter T. and Huang, Dan and Ng, Andrew Y. and Potts, Christopher}, title = {Learning Word Vectors for Sentiment Analysis}, booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies}, month = {June}, year = {2011}, address = {Portland, Oregon, USA}, publisher = {Association for Computational Linguistics}, pages = {142--150}, url = {http://www.aclweb.org/anthology/P11-1015} }