SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.
I want to use this Parser with Chinese Dataset, and try to use mbart(https://github.com/pytorch/fairseq/tree/main/examples/mbart). But the difference of data preprocess and encode/decode makes it hard to use this parser with Chinese. How can I do that?
I want to use this Parser with Chinese Dataset, and try to use mbart(https://github.com/pytorch/fairseq/tree/main/examples/mbart). But the difference of data preprocess and encode/decode makes it hard to use this parser with Chinese. How can I do that?