%0 Generic %1 celikyilmaz2018communicating %A Celikyilmaz, Asli %A Bosselut, Antoine %A He, Xiaodong %A Choi, Yejin %D 2018 %K deepgeneration naacl2018 neuralnet rnn %T Deep Communicating Agents for Abstractive Summarization %U http://arxiv.org/abs/1803.10357 %X We present deep communicating agents in an encoder-decoder architecture to address the challenges of representing a long document for abstractive summarization. With deep communicating agents, the task of encoding a long text is divided across multiple collaborating agents, each in charge of a subsection of the input text. These encoders are connected to a single decoder, trained end-to-end using reinforcement learning to generate a focused and coherent summary. Empirical results demonstrate that multiple communicating encoders lead to a higher quality summary compared to several strong baselines, including those based on a single encoder or multiple non-communicating encoders.

@misc{celikyilmaz2018communicating, abstract = {We present deep communicating agents in an encoder-decoder architecture to address the challenges of representing a long document for abstractive summarization. With deep communicating agents, the task of encoding a long text is divided across multiple collaborating agents, each in charge of a subsection of the input text. These encoders are connected to a single decoder, trained end-to-end using reinforcement learning to generate a focused and coherent summary. Empirical results demonstrate that multiple communicating encoders lead to a higher quality summary compared to several strong baselines, including those based on a single encoder or multiple non-communicating encoders.}, added-at = {2018-06-01T18:23:07.000+0200}, author = {Celikyilmaz, Asli and Bosselut, Antoine and He, Xiaodong and Choi, Yejin}, biburl = {https://www.bibsonomy.org/bibtex/2b2d13cc39d62b6219570b55be363fdb0/albinzehe}, description = {[1803.10357] Deep Communicating Agents for Abstractive Summarization}, interhash = {724354a0dcbc7146d1787ddc1b87ea07}, intrahash = {b2d13cc39d62b6219570b55be363fdb0}, keywords = {deepgeneration naacl2018 neuralnet rnn}, note = {cite arxiv:1803.10357Comment: Accepted for publication at NAACL 2018}, timestamp = {2018-06-01T18:23:07.000+0200}, title = {Deep Communicating Agents for Abstractive Summarization}, url = {http://arxiv.org/abs/1803.10357}, year = 2018 }