@inproceedings{sordoni2015a,
author = {Sordoni, Alessandro and Galley, Michel and Auli, Michael and Brockett, Chris and Ji, Yangfeng and Mitchell, Meg and Nie, Jian-Yun and Gao, Jianfeng and Dolan, Bill},
title = {A Neural Network Approach to Context-Sensitive Generation of Conversational Responses},
booktitle = {Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT)},
year = {2015},
month = {June},
abstract = {We present a novel response generation system that can be trained end to end on large quantities of unstructured Twitter conversations. A neural network architecture is used to address sparsity issues that arise when integrating contextual information into classic statistical models, allowing the system to take into account previous dialog utterances. Our dynamic-context generative models show consistent gains over both context-sensitive and non-context-sensitive Machine Translation and Information Retrieval baselines.},
url = {http://approjects.co.za/?big=en-us/research/publication/a-neural-network-approach-to-context-sensitive-generation-of-conversational-responses/},
}