- Latent Tree Learning with Differentiable Parsers: Shift-Reduce Parsing and Chart Parsing
Jean Maillard and Stephen Clark
- Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL?
Emma Strubell and Andrew McCallum
- Subcharacter Information in Japanese Embeddings: When Is It Worth It?
Marzena Karpinska, Bofang Li, Anna Rogers and Aleksandr Drozd
- A neural parser as a direct classifier for head-final languages
Hiroshi Kanayama, Masayasu Muraoka and Ryosuke Kohita
- Unsupervised Source Hierarchies for Low-Resource Neural Machine Translation
Anna Currey and Kenneth Heafield
- Syntactic Dependency Representations in Neural Relation Classification
Farhad Nooralahzadeh and Lilja Øvrelid
- Compositional Morpheme Embeddings with Affixes as Functions and Stems as Arguments
Daniel Edmiston and Karl Stratos