Training on AMR 3.0 (LDC2020T02)

sheng-z / stog

AMR Parsing as Sequence-to-Graph Transduction

MIT License

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Training on AMR 3.0 (LDC2020T02) #18

Open bjascob opened 4 years ago

bjascob commented 4 years ago

Has anyone tried to train on the new, larger, AMR 3.0 corpus? Any plans to do so? I'm curious if this improves the overall score. I'm tempted to dig into this but I only have a single TitanX card to train on and the corpus isn't readily available to me. If someone else is already working on this I may prefer to wait to hear your results rather than dig into it myself. Let us know.

xdqkid commented 4 years ago

As seen in #5 , this work relies on anonymization excessively. So its performance is not good. It seems that the author is too busy, so there is no plan to open source anonymization script。