3 ms·
Nice! Relevant links for anyone interested: * spaCy on Github: https://github.com/explosion/spacy https://github.com/explosion/spacy * NER demo: https://demo
by syllogism 9y ago
Nice!
Relevant links for anyone interested:
* spaCy on Github: https://github.com/explosion/spacy https://github.com/explosion/spacy
* NER demo: https://demos.explosion.ai/displacy-ent/ https://demos.explosion.ai/displacy-ent/
* Neural coref by HuggingFace: https://huggingface.co/coref/ https://huggingface.co/coref/
* Accuracy of built-in spaCy models: https://spacy.io/usage/facts-figures https://spacy.io/usage/facts-figures
Last time I calculated, the lowest cost way to run spaCy in the cloud was on Google Compute Engine ns1-standard pre-emptable instances. It should be over 100x cheaper per document than using Google, Amazon or Microsoft's cloud NLP APIs. Accuracy will depend on your problem, but if you have your own training data, performance should be similar.
- Xeoncross 9y agoI've run spaCy on small $10/m linux VPS instances. What do you mean by cheapest? I'm sure you're right, but what volume are you referring too?
- syllogism 9y agoI'm referring to best price per word when the service is continually active. Like, if you want to parse a web dump, what type of instance do you provision a bunch of?
- artpar 9y agoGCE's pre-emptable instances are so much easier to use and manage compared to AWS's spot instances. I made a rule to make stateless services only just to leverage these.
- wyldfire 9y agoThis coref thing [1] is great, the visualization is handy. I'd love to see it combined with NER [2]. [1] https://goo.gl/JnS95x https://goo.gl/JnS95x [2] https://goo.gl/k5YRjN https://goo.gl/k5YRjN
- deleted 9y ago[deleted]