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XLNet, which just came out, beats BERT by an incredible margin on a number of nontrivial tasks: https://arxiv.org/abs/1906.08237
Once our basic infrastructure for the shared task is up and running, we should integrate XLNet into the am-parser and see what this buys us.
In an ideal world, AllenNLP will already include a module for pretrained XLNet embeddings. Otherwise, it doesn't seem very hard to write our own. The BERT class in AllenNLP is basically just a rather thin wrapper around the Pytorch BERT library from huggingface, and those people have already implemented XLNet. So it seems like it would just be a matter of replacing the core bits of the AllenNLP class with calls to the huggingface class.
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We are not allowed to use it for the shared task though: http://svn.nlpl.eu/mrp/2019/public/resources.txt
After the deadline I'd be happy to integrate it. By then, AllenNLP will probably already contain a module, I hope.
XLNet, which just came out, beats BERT by an incredible margin on a number of nontrivial tasks: https://arxiv.org/abs/1906.08237
Once our basic infrastructure for the shared task is up and running, we should integrate XLNet into the am-parser and see what this buys us.
In an ideal world, AllenNLP will already include a module for pretrained XLNet embeddings. Otherwise, it doesn't seem very hard to write our own. The BERT class in AllenNLP is basically just a rather thin wrapper around the Pytorch BERT library from huggingface, and those people have already implemented XLNet. So it seems like it would just be a matter of replacing the core bits of the AllenNLP class with calls to the huggingface class.
The text was updated successfully, but these errors were encountered: