Preliminary entity topic model implementation + Migration to scala 2.10

the entity topic model implementation is very simple and preliminary, but fast and working at the moment. It relies on the statistical backend for training (spotter+stores). It needs a lot of memory at the moment, though. Probabilistic count stores might be a nice idea to reduce those requirements.

I also migrated the whole project to 2.10, further testing would be nice, e.g., creating spotlight model (I don't have the raw counts).

Currently, disambiguation on CSAW has a precision of around 0.81 after 150 iterations of training, which is compared to our common sense baseline with 0.83 a little worse, which means that the context model actually hurts performance, compared to only using surface-form to resource probabilities.