Using Web-scale N-grams to Improve Base NP Parsing Performance
Emily Pitler, Shane Bergsma, Dekang Lin, Kenneth Church · 2010
We use web-scale N-grams in a base NP parser that correctly analyzes 95.4 % of the base NPs in natural text. Web-scale data improves performance. That is, there is no data like more data. Performance scales log-linearly with the number of parameters in the model (the number of unique N-grams). The web-scale N-grams are particularly helpful in harder cases, such as NPs that contain conjunctions. 1