PCFG vs SR Parser
问题 It looks like stanfordnlp has these SR models for some time. I am really new to NLP but we are currently using PCFG parser and we are having serious performance issues( that we cut down the parse length to 35) I was thinking if we could try using SR. I tried it with POS tagger from stanford(english-left3words-distsim.tagger) Would you know how SR is on accuracy vs PCFG? I also find sentence root detection issues with SR and dep parse: Example: Michael Jeffrey Jordan, also known by his