Updated script to run with the SpacyNER tagger and REL linker #1226
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Refactored the EL script to support the updated REL code.
I followed the author's suggestions for creating a new Mention Detection pipeline.
It assumes that REL is installed via pip from their repo as instructed.
Tested on a small portion of docs00.json (first 100 lines) that is generated while pre-processing the msmarco-passage for indexation with pyserini.
This approach, as the original code, is very RAM intensive. Batching and multi-processing can be added to improve the pipeline's performance.