Hi, I am trying to develop an OpenNLP based learnable featurizer. It can attach tags like gender, number, mood, person and verb tense. The input is the sentence tokens and the POS Tags. The context generator I am using is based on the one from Chunker, plus some prefix and suffix features.
The current accuracy is 95,395%, but I think I can improve it using a sequence validator. Question: Is it possible to create a sequence validator that, besides the tokens, also knows the POS Tags? I would like to check if the combination POS Tag + features is OK (tense tags only for verbs for example). Thank you in advance. If it works, and you think it is a good tool, I will contribute the featurizer to OpenNLP. William
