search

davidberenstein1957 / concise-concepts

This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings. Now with entity scoring.
MIT License
240 stars 15 forks source link

Code example did not work #2

Closed philipvollet closed 2 years ago

philipvollet commented 2 years ago

I tried to give your library a test run and installed it via>> 'pip install classy-classification' and git, but the code example did not work. I haven't taken the time to troubleshoot. I guess something has been renamed 'concise_concepts' vs 'classy_classification' ?

davidberenstein1957 commented 2 years ago

I tried to give your library a test run and installed it via>> 'pip install classy-classification' and git, but the code example did not work. I haven't taken the time to troubleshoot. I guess something has been renamed 'concise_concepts' vs 'classy_classification' ?

Concise concepts (few shot ner) and classy classification (few/zero short classification) are two separate packages. There was a typo in the readme, mentioning the install of the wrong package. I resolved this now.

davidberenstein1957 commented 2 years ago

@philipvollet By the way, classy-classification has already been added to the spaCy universe, while I have a PR for concise-concepts.