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Abstract:A variety of statistical methods for noun compound analysis are implemented and compared. The results support two main conclusions. First, the use of conceptual association not only enables a broad coverage, but also improves the accuracy. Second, an analysis model based on dependency grammar is substantially more accurate than one based on deepest constituents, even though the latter is more prevalent in the literature.
* Proceedings of the 33rd Annual Meeting of the Association for
Computational Linguistics, Boston, MA., 1995 pp47-54 * 8 pages, 5 figures, uses modified version of aclap.sty, replaced
because old version failed to TeX properly