I want to use Stanford NER in python using pyner library. Here is one basic code snippet. import ner tagger = ner.HttpNER(host='localhost', port=80) tagger.get_entities("University of California ...

I can't seem to be able to get the proper instance injected into a class ctor. Here is what I am trying to do: class Program { static void Main(string[] args) { WindsorContainer container = new...

In the iOS email client, when an email contains a date, time or location, the text becomes a hyperlink and it is possible to create an appointment or look at a map simply by tapping the link. It no...

I am looking for a free tagged corpus for a system to train on to for Named Entity Recognition. Most of the ones I find (like the New York Times one) are expensive and not open. Can anyone he...

I am trying to extract named entities from dutch text. I used nltk-trainer to train a tagger and a chunker on the conll2002 dutch corpus. However, the parse method from the chunker is not detecting...

I'm developing a semi-automatic annotation tool for medical texts and I am completely lost in finding the RDF triplets for annotation. I am currently trying to use an NLP based approach. I have al...

With existing text categorization (supervised) techniques why don't we consider Named Entities (NE) in the text as a feature in training and testing? Do you think we can improve precision with usin...

What is the difference between named entity recognition and named entity resolution? Would appreciate a practical example.

I'm looking for a Java library that can do Named entity recognition (NER) with a custom controlled vocabulary, without needing labeled training data first. I searched some on SE, but most questions...

Ok, I have the following code to train the NER Identifier from OpenNLP FileReader fileReader = new FileReader("train.txt"); ObjectStream fileStream = new PlainTextByLineStream(fileReader); ObjectS...

I am looking for a simple but "good enough" Named Entity Recognition library (and dictionary) for java, I am looking to process emails and documents and extract some "basic information" like:...

What are some good algorithms for automatically labeling text with the city / region or origin? That is, if a blog is about New York, how can I tell programatically. Are there packages / papers tha...