On: Show HN: Languagecrunch – NLP server Docker image

[laretluval]

The demo examples are wrong or don't make much sense.

"Donald Trump's administration" is not a person.

In the following example, "The currency" is not a subject and "India" is not an object.

I don't know how much useful information is extracted by this system.

[syllogism → laretluval]

That example is a tweet, which the syntax and NER models haven't been trained on. You can make calls to `nlp.update()` to improve it on your own data. We also have an annotation tool, https://prodi.gy , to more quickly create training data.

(I'm the author of spaCy, not this Docker container.)

[laretluval → syllogism]

SpaCy is wonderful, I've used it a lot over the years and I have high confidence in its output.

I just wish the author of this docker container chose demo sentences that advertised it better.

[codegladiator → laretluval]

> "The currency" is not a subject and "India" is not an object.

But "subject" and "object" is for indicating the Subject-Verb-Predicate (object) of the sentence and not as in literal object ?

[laretluval → codegladiator]

"India" is neither the predicate nor the object of the sentence.

[artpar → laretluval]

You are correct. That is clearly a wrong example. Will change that.

Also that issue is in my code (poor naming choice). Will put up the code on github soon. Hope that will help.