https://github.com/kumar-shridhar/ner-benchmarks
NER Benchmark
https://github.com/kumar-shridhar/ner-benchmarks
Last synced: about 2 months ago
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NER Benchmark
- Host: GitHub
- URL: https://github.com/kumar-shridhar/ner-benchmarks
- Owner: kumar-shridhar
- Created: 2020-03-03T15:47:57.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-03-04T12:13:14.000Z (about 5 years ago)
- Last Synced: 2025-01-28T17:17:13.510Z (4 months ago)
- Size: 37.1 KB
- Stars: 7
- Watchers: 3
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Benchmarking Named Entity Recognition: StanfordNLP, IBM, spaCy, Dialogflow, and TextSpace
We compare how NeuralSpace's solution [TextSpace](https://neuralspace.ai/textspace/) performs compared to the well-known solutions below. Read the blog post [here](https://medium.com/neuralspace/benchmarking-named-entity-recognition-stanfordnlp-ibm-spacy-dialogflow-and-textspace-af6615eb7930).
- spaCy: https://spacy.io/usage/linguistic-features#named-entities
- IBM's MAX Named Entity Tagger: http://max-named-entity-tagger.max.us-south.containers.appdomain.cloud/
- StanfordNLP: http://corenlp.run/
- Dialogflow: https://dialogflow.com/
- TextSpace: https://ns-demo.azurewebsites.net/
## Results
