Bugert, Michael ; Puzikov, Yevgeniy ; Rücklé, Andreas ; Eckle-Kohler, Judith ; Martin, Teresa ; Martínez Cámara, Eugenio ; Sorokin, Daniil ; Peyrard, Maxime ; Gurevych, Iryna (2017):
LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test.
In: Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics, pp. 56-61,
Association for Computational Linguistics, The 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics, Valencia, Spain, 03.04.2017--04.04.2017, ISBN 978-1-945626-40-1,
[Conference or Workshop Item]
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. Our system and generated data are publicly available on GitHub.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2017 |
| Creators: | Bugert, Michael ; Puzikov, Yevgeniy ; Rücklé, Andreas ; Eckle-Kohler, Judith ; Martin, Teresa ; Martínez Cámara, Eugenio ; Sorokin, Daniil ; Peyrard, Maxime ; Gurevych, Iryna |
| Title: | LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test |
| Language: | English |
| 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. Our system and generated data are publicly available on GitHub. |
| Book Title: | Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics |
| Publisher: | Association for Computational Linguistics |
| ISBN: | 978-1-945626-40-1 |
| Uncontrolled Keywords: | UKP_p_DIP;UKP_p_QAEduInf;UKP_reviewed;UKP_a_DLinNLP;UKP_a_LSRA;AIPHES |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Ubiquitous Knowledge Processing DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources |
| Event Title: | The 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics |
| Event Location: | Valencia, Spain |
| Event Dates: | 03.04.2017--04.04.2017 |
| Date Deposited: | 21 Feb 2017 20:05 |
| URL / URN: | http://aclweb.org/anthology/W17-0908 |
| Identification Number: | TUD-CS-2017-0040 |
| PPN: | |
| Corresponding Links: | |
| Projects: | AIPHES, UKP_p_DIP, UKP_p_QAUduInf |
| Funders: | German Research Foundation, grant No.GU 798/17-1, German Research Foundation, research training group “Adaptive Preparation of Information form Heterogeneous Sources” (AIPHES), GRK 1994/1, QA-EduInf project, grants No. GU 798/18-1 and No. RI 803/12-1 |
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