STATISTICAL ACQUISITION OF DOMAIN-SPECIFIC SEMANTIC GRAMMAR

摘要

An approach for semiautomatic grammar acquisition from un-annotated corpus about a specific domain was presented. The grammar is produced by an iterative procedure which spatially and temporally clusters the words from a domain-specific corpus. Temporal clustering can discover the fragment's syntactic structure and spatial clustering can discover the fragment's semantic category. Finally, the resultant grammar is post-processed by hand-editing. The preliminary experimental result shows that the method is effective and practical.