| other,2-2-H92-1026,bq | </term> . <term> HBG </term> incorporates <term> | lexical , syntactic , semantic , and structural information | </term> from the <term> parse tree </term> into | #18921 HBG incorporateslexical , syntactic , semantic , and structural information from the parse tree into the disambiguation process in a novel way. |
| tech,24-5-H92-1026,bq | model </term> significantly outperforms <term> | P-CFG | </term> , increasing the <term> parsing accuracy | #19031 In head-to-head tests against one of the best existing robust probabilistic parsing models, which we call P-CFG, the HBG model significantly outperformsP-CFG, increasing the parsing accuracy rate from 60% to 75%, a 37% reduction in error. |
| tech,17-2-H92-1026,bq | the <term> parse tree </term> into the <term> | disambiguation process | </term> in a novel way . We use a <term> corpus | #18936 HBG incorporates lexical, syntactic, semantic, and structural information from the parse tree into thedisambiguation process in a novel way. |
