Using Web-scale N-grams to Improve Base NP Parsing Performance

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.

• Type: Journal
• Year: 2010
• Where: COLING
• Authors: Emily Pitler, Shane Bergsma, Dekang Lin, Kenneth Ward Church
• Keywords: Base Np Parser, COLING 2010, Computational Linguistics, Unique N-grams, Web-scale N-grams