Paper: Inducing History Representations For Broad Coverage Statistical Parsing

ACL ID N03-1014
Title Inducing History Representations For Broad Coverage Statistical Parsing
Venue Human Language Technologies
Session Main Conference
Year 2003
Authors

We present a neural network method for induc- ing representations of parse histories and us- ing these history representations to estimate the probabilities needed by a statistical left-corner parser. The resulting statistical parser achieves performance (89.1% F-measure) on the Penn Treebank which is only 0.6% below the best current parser for this task, despite using a smaller vocabulary size and less prior linguistic knowledge. Crucial to this success is the use of structurally determined soft biases in inducing the representation of the parse history, and no use of hard independence assumptions.