Abstract is missing.
- Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal Morphological ReinflectionMans Hulden. [doi]
- CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 LanguagesRyan Cotterell, Christo Kirov, John Sylak-Glassman, Géraldine Walther, Ekaterina Vylomova, Patrick Xia, Manaal Faruqui, Sandra Kübler, David Yarowsky, Jason Eisner, Mans Hulden. 1-30 [doi]
- Training Data Augmentation for Low-Resource Morphological InflectionToms Bergmanis, Katharina Kann, Hinrich Schütze, Sharon Goldwater. 31-39 [doi]
- The LMU System for the CoNLL-SIGMORPHON 2017 Shared Task on Universal Morphological ReinflectionKatharina Kann, Hinrich Schütze. 40-48 [doi]
- Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological ReinflectionPeter Makarov, Tatiana Ruzsics, Simon Clematide. 49-57 [doi]
- Morphological Inflection Generation with Multi-space Variational Encoder-DecodersChunting Zhou, Graham Neubig. 58-65 [doi]
- ISI at the SIGMORPHON 2017 Shared Task on Morphological ReinflectionAbhisek Chakrabarty, Utpal Garain. 66-70 [doi]
- Experiments on Morphological Reinflection: CoNLL-2017 Shared TaskAkhilesh Sudhakar, Anil Kumar Singh. 71-78 [doi]
- If you can't beat them, join them: the University of Alberta system descriptionGarrett Nicolai, Bradley Hauer, Mohammad Motallebi, Saeed Najafi, Grzegorz Kondrak. 79-84 [doi]
- Character Sequence-to-Sequence Model with Global Attention for Universal Morphological ReinflectionQile Zhu, Yanjun Li, Xiaolin Li. 85-89 [doi]
- Data Augmentation for Morphological ReinflectionMiikka Silfverberg, Adam Wiemerslage, Ling Liu, Lingshuang Jack Mao. 90-99 [doi]
- Seq2seq for Morphological Reinflection: When Deep Learning FailsHajime Senuma, Akiko Aizawa. 100-109 [doi]
- SU-RUG at the CoNLL-SIGMORPHON 2017 shared task: Morphological Inflection with Attentional Sequence-to-Sequence ModelsRobert Östling, Johannes Bjerva. 110-113 [doi]