1997/02/04 by Ted Briscoe, John M. Carroll, Briscoe, Ted +1 · 1 citation
Arts and Humanities · Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Lexicography and Language Studies #Natural Language Processing Techniques #Topic Modeling
paper · pdf · doi:10.48550/arxiv.cmp-lg/9702002
openalex publication_date 1997/02/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We describe a novel technique and implemented system for constructing a subcategorization dictionary from textual corpora. Each dictionary entry encodes the relative frequency of occurrence of a comprehensive set of subcategorization classes for English. An initial experiment, on a sample of 14 verbs which exhibit multiple complementation patterns, demonstrates that the technique achieves accuracy comparable to previous approaches, which are all limited to a highly restricted set of subcategorization classes. We also demonstrate that a subcategorization dictionary built with the system improves the accuracy of a parser by an appreciable amount.