Hi all,
i'm a german computer science student, who is currently writing on his
bachelor thesis. I write you because i'm very desperate. I have to solve
an information extraction task and i'm not quite sure, how to solve it
and i was hoping, you could help me or tell me if openNLP would work out.
Ok... here it comes:
Let's assume I have a sender's adress from a letter. And i have few
annotated examples.
new document example with annotation
Mr. XYZ Enterprise Something
Example Company John Doe
Sample road 12514 somewhere else
somewhere another road
something
something something else
So the problem is how to generate a matching or learning algorithm, so
that I'm able to extract for example the name of the company or the name
of a new sender, considering some annotated examples i can provide, with
the problem that not every sender is written with the same order or
expressions.
The thing is that, i only have really few examples, like less than 10.
You have any suggestions how to solve this? I would be really thankful,
since i'm very disappointed, not finding a solution.
Yours thankfully,
Markus
