%0 Conference Proceedings %T Narrative Modeling with Memory Chains and Semantic Supervision %A Liu, Fei %A Cohn, Trevor %A Baldwin, Timothy %Y Gurevych, Iryna %Y Miyao, Yusuke %S Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) %D 2018 %8 July %I Association for Computational Linguistics %C Melbourne, Australia %F liu-etal-2018-narrative %X Story comprehension requires a deep semantic understanding of the narrative, making it a challenging task. Inspired by previous studies on ROC Story Cloze Test, we propose a novel method, tracking various semantic aspects with external neural memory chains while encouraging each to focus on a particular semantic aspect. Evaluated on the task of story ending prediction, our model demonstrates superior performance to a collection of competitive baselines, setting a new state of the art. %R 10.18653/v1/P18-2045 %U https://aclanthology.org/P18-2045 %U https://doi.org/10.18653/v1/P18-2045 %P 278-284