Re: Model to detect the gender

Jorn, please, could you link me that model? 2016-07-04 14:42 GMT+02:00 Joern Kottmann <kottm...@gmail.com>: > The co-referencer we used used to have in opennlp-tools has a model to > detect the gender of names. That could could be extracted and put into a > stand alone comp

Re: Model to detect the gender

Hello, there are also other interesting properties e.g. person title (e.g. professor, doctor), job title/position, company legal form. And much more for other entity types. Maybe it would be worth it to build a dedicated component to extract properties from entities. Jörn On Fri, Jul 1, 2016

Re: Model to detect the gender

Hi, Sorry for my late reply. I didn't understand well your last email, but here is what I meant: Given a simple dictionary you have that has the following columns: Name Type Gender Agatha First F JohnFirst M Smith Both

Re: Model to detect the gender

Hi Mondher, could you give me a raw example to understand how i should train the classifier model? Thank you in advance! Damiano 2016-06-30 6:57 GMT+02:00 Mondher Bouazizi : > Hi, > > I would recommend a hybrid approach where, in a first step, you use a plain >

Re: Model to detect the gender

Hi, I would recommend a hybrid approach where, in a first step, you use a plain dictionary and then perform the classification if needed. It's straightforward, but I think it would present better performances than just performing a classification task. In the first step you use a dictionary of

Re: Model to detect the gender

Awesome! Thank you so much WIlliam! 2016-06-29 13:36 GMT+02:00 William Colen : > To create a NER model OpenNLP extracts features from the context, things > such as: word prefix and suffix, next word, previous word, previous word > prefix and suffix, next word prefix and

Re: Model to detect the gender

To create a NER model OpenNLP extracts features from the context, things such as: word prefix and suffix, next word, previous word, previous word prefix and suffix, next word prefix and suffix etc. When you don't configure the feature generator it will apply the default:

Re: Model to detect the gender

Thank you William! Really appreciated! I only do not get one point, when you said "You could increment your model using Custom Feature Generators" does it mean that i can "put" these features inside ONE *.bin* file (model) that implement different things, or, name finder is one thing and those

Re: Model to detect the gender

Not exactly. You would create a new NER model to replace yours. In this approach you would need a corpus like this: Pierre Vinken , 61 years old , will join the board as a nonexecutive director Nov. 29 . Mr . Vinken is chairman of Elsevier N.V. , the Dutch publishing group . Jessie Robson

Re: Model to detect the gender

Hi William, Ok, so you are talking about a kind of pipe where we execute: 1. NER (personM for example) 2. Regex (filter to reduce false positives) 3. Plain dictionary (filter as above) ? Yes we can split out model in two for M and F, it is not a big problem, we have a database grouped by gender.

Re: Model to detect the gender

Do you plan to use the surrounding context? If yes, maybe you could try to split NER in two categories: PersonM and PersonF. Just an idea, never read or tried anything like it. You would need a training corpus with these classes. You could add both the plain dictionary and the regex as NER