In my article “ Pride and Prejudice of Main Stream “, the first myth listed as top 10 misconceptions in NLP is as follows: Rule-based system faces a knowledge bottleneck of hand-crafted development while a machine learning system involves automatic training (implying no knowledge b ...
After I showed the benchmarking results of SyntaxNet and our rule system based on grammar engineering, many people seem to be surprised by the fact that the rule system beats the newest deep-learning based parser in data quality . I then got asked many questions, one question is: Q: We kn ...
As we all know, natural language parsing is fairly complex but instrumental in Natural Language Understanding (NLU) and its applications . We also know that a breakthrough to 90%+ accuracy for parsing is close to human performance and is indeed an achievement to be proud of. Neverth ...