LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test
2017-04-01WS 2017Code Available0· sign in to hype
Michael Bugert, Yevgeniy Puzikov, Andreas R{\"u}ckl{\'e}, Judith Eckle-Kohler, Teresa Martin, Eugenio Mart{\'\i}nez-C{\'a}mara, Daniil Sorokin, Maxime Peyrard, Iryna Gurevych
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- github.com/UKPLab/lsdsem2017-story-clozeOfficialIn papertf★ 0
Abstract
The Story Cloze test is a recent effort in providing a common test scenario for text understanding systems. As part of the LSDSem 2017 shared task, we present a system based on a deep learning architecture combined with a rich set of manually-crafted linguistic features. The system outperforms all known baselines for the task, suggesting that the chosen approach is promising. We additionally present two methods for generating further training data based on stories from the ROCStories corpus.