A Corpus-Based Learning Technique for Building A Self-Extensible Parser

IIuman intervention and/or training corpora tagged with various kinds of information were often assumed in many natural language acquisition models. This assumption is a major source of inconsistencies, errors, and inefficiency in learning. In this paper, we explore the extent to which a parser may extend itself without relying on extra input from the outside world. A learning technique called SEP is proposed and attached to the parser. The input to SEP is raw sentences, while the output is the knowledge that is missing in the parser. Since parsers and raw sentences are commonly available and no human intervention is needed in learning, SEP could make fully automatic large-scale acquisition more feasible.

• Type: Conference
• Year: 1994
• Where: COLING
• Authors: Rey-Long Liu, Von-Wun Soo
• Keywords: COLING 1994, COLING 2008, Intervention And/or Training, Raw Sentences, Technique Called Sep