Distilled / faster coreference resolution #13218
znadrich-qf
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Any thoughts on this? |
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In comparison to
fastcoreftheen_coreference_web_trfcoreference resolution model available inspacy-experimentalis significantly slower. There was a previous discussion about potentially increasing the model inference speed by using a distilled transformer. Before undertaking this effort myself, I needed to get ahold of the OntoNotes dataset which needs to be licensed. There is another discussion stating that spaCy has a special licensing agreement allowing you to release models trained with this dataset under the MIT licenseGiven all of this, it seems rather difficult for one to train a distilled coreference resolution model without the dataset or the specialized licensing agreement. Would spaCy ever officially release a distilled coreference resolution model?
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