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RaTE: a Reproducible automatic Taxonomy Evaluation by Filling the Gap

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RaTE

RaTE: a Reproducible automatic Taxonomy Evaluation by Filling the Gap (Code)

Link to the paper: https://iwcs.pimoid.fr/30.pdf

Minimalistic run:
python rate.py -t "taxos/HiExpan1.txt"

Or with more specifications:
python rate.py -t "taxos/HiExpan1.txt" -m "m1a" -k 10

Sample output:
Taxonomy path: taxos/HiExpan1.txt
Pattern path: custom_queries/default_queries.txt
Evaluation model: bert_base
Number of predictions per query: 10
RaTE score: 0.4961832061068702

Required libraries:
torch
transformers
nltk
pandas
tqdm*

Download the Yelp dataset used in the paper and code: https://shorturl.at/auvxT

Rest assured, more updates are coming soon!

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