Corpus Statistics Meet the Noun Compound: Some Empirical Results
<|reference_start|>Corpus Statistics Meet the Noun Compound: Some Empirical Results: 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.<|reference_end|>
@article{lauer1995corpus,
    title={Corpus Statistics Meet the Noun Compound: Some Empirical Results},
    author={Mark Lauer (Microsoft Institute, Sydney)},
    journal={Proceedings of the 33rd Annual Meeting of the Association for
  Computational Linguistics, Boston, MA., 1995 pp47-54},
    year={1995},
    archivePrefix={arXiv},
    eprint={cmp-lg/9504033},
    primaryClass={cmp-lg cs.CL}
}