Among them, named entity recognition, part-of-speech tagging and noun phrase chunking apply the same Hidden Markov Model (HMM)-based engine with error-driven learning capability Su, 2000 &2002).
for SRL, we use a state-of-the-art inhouse toolkit, which achieved the precision of 87.07% for ARG0 identification and the precision of 78.97% for ARG1 identification, for easy integration.