We propose a back-and-forth conversion algorithm, in which we preprocess the training treebank to increase parsability, and reconvert the parser outputs.

To improve the parsability of UD, we propose a back-and-forth conversion algorithm, in which we preprocess the training treebank to increase parsability, and ...

We propose a novel approach to cross-lingual part-of-speech tagging and dependency parsing for truly low-resource languages. Our annotation projection-based ...

Multilingual Back-and-Forth Conversion between Content and Function Head for Easy Dependency Parsing (2017) Kohita, Ryosuke and Noji, Hiroshi and Matsumoto, ...

Multilingual Back-and-Forth Conversion between Content and Function Head for Easy Dependency Parsing. Ryosuke Kohita | Hiroshi Noji | Yuji Matsumoto | ...

Multilingual Back-and-Forth Conversion between Content and Function Head for Easy Dependency Parsing · 1 code implementation • EACL 2017 • Ryosuke Kohita ...

2014. Multilingual back-and-forth conversion between content and function head for easy dependency parsing. R Kohita, H Noji, Y Matsumoto. Proceedings of the ...

Multilingual Back-and-Forth Conversion between Content and Function Head for Easy Dependency Parsing · Computer Science, Linguistics. EACL · 2017.

Matsumoto, Multilingual Back-and-Forth Conversion between Content and Function Head for Easy Dependency Parsing, Proceedings of the 15th Conference of the ...

Multilingual back-and-forth conversion between content and function head for easy dependency parsing. In Proceedings of the 15th Conference of the European ...