Transforming a Chunker to a Parser

Ever since the landmark paper Ramshaw and Marcus (1995), machine learning systems have been used successfully for identifying base phrases (chunks), the bottom constituents of a parse tree. We expand a state-of-the-art chunking algorithm to a bottom-up parser by recursively applying the chunker to its own output. After testing different training configurations we obtain a reasonable parser which is tested against a standard data set. Its performance falls behind that of current state-of-the-art parsers. We give some suggestions for modifications of the parser which may lead to future performance improvements.

• Type: Conference
• Year: 2000
• Where: CLIN
• Authors: Erik F. Tjong Kim Sang
• Keywords: CLIN 2000, CLIN 2004, Landmark Paper Ramshaw, Parser, State-of-the-art Chunking Algorithm