Automated Parser Construction from a Treebank by means of TBL and ILP

Considering the difficulties inherent in the manual construction of natural language parsers, we have designed and implemented our system GRIND which is capable of learning a sequence of context-dependent parsing actions from an arbitrary corpus containing labelled parse trees. Being trained and tested on corpus SUSANNE, GRIND reaches the accuracy of 96 % and the recall of 68 %.

• Type: Conference
• Year: 2001
• Where: ACL
• Authors: Miloslav Nepil
• Keywords: ACL 2001, ACL 2007, Arbitrary Corpus, Context-dependent Parsing Actions, Natural Language Parsers