NameFinder | عطها لستة ارقام وتعطيك اساميهم

I have a postgres database which stores (as a String) the relevant class to use dependent on the information coming in from the user.

e.g. user has input Name, the database has the value NameFinder() stored against this and the code needs to create an instance of NameFinder().

I was wondering if there was a way of using reflection to instantiate this class as an @Autowired component, and then call the relevant function.

I can't seem to find a guide that uses @Autowired classes so any help would be appreciated.

I am trying to build a custom NER using Apache OpenNLP 1.7. From the documentation available Here, I have developed the following code

We have a report writing tool that we're trying to add a search capability to. Essentially a user would be able to type in a question and get a report back based on the criteria in the sentence. We're trying to keep this as open ended as we can, not requiring a specific sentence structure, which is why we thought to try OpenNLP NER.

An example would be:

"what was Arts attendance last quarter"

Tagged as:

I'm trying to run a simple app that renders different nicknames I've been given throughout my life in an array.

I have two total components, the pushMe component as the child button and the nameFinder as the parent. I'm trying to pass my display() method into my pushMe button component as an onClick event but the button won't render any results. I'm trying to figure out what I'm missing.

I am using chunking for tagging the data and get the location from the text initially i try to extract noun phrase from next when we use noun phrase name also mentioned as noun phrase so it can't use.then i moved to location ner of core nlp i try to run the below code

Hi already have referred to this, this, this and this but still finding it difficult to build a custom name finder model.. Here is the code:

After using NameFinderME to find the names in a series of tokens, I would like to reverse the tokenization and reconstruct the original text with the names that have been modified. Is there a way I can reverse the tokenization operation in the exact way in which it was performed, so that the output is the exact structure as the input?

Example

Hello my name is John. This is another sentence.

Find sentences

Hello my name is John.
This is another sentence.

Tokenize sentences.

How to create a new product to magento 2.1 programmatically using c#. Whenever I run my code I get this exception but I cannot understand the meaning:

I would like to train a own model to use in OpenNLP NameFinder.

Searched a lot and finally came up with a working code to train a model, but its not accurate. The documentation also says you need 15000 sentences to have a accurate model.

So you need to have 15000 sentences with a good context and at the name every time . To do this you would have to spend hours days/months writing a .txt file.

I did some futher search to train a model without writing all by your self and came on Custom Feature generation of OpenNLP. http://opennlp.apache.org/docs/1.8.1/manual/opennlp.html#tools.namefind.training.tool

But it says not much about how to use it. The documentation gives this :