The generative models (CSLDA and MOMRESP) tend to excel in lowannotation portions of the learning curve, partially because generative models tend to converge quickly and partially because generative models naturally learn from unlabeled documents (i.e., semi-supervision).
mOmRESP tends to quickly reach a performance plateau after which additional annotations do little good.