An investigation of broad coverage automatic pronoun resolution for information retrieval

Richard J. Edens, Helen Gaylard, G. Jones, Adenike M. Lam-Adesina
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引用次数: 9

Abstract

Term weighting methods have been shown to give significant increases in information retrieval performance. The presence of pronomial references in documents reduces the term frequencies of associated words with a consequent effect on term weights and information retrieval behaviour. This investigation explores the impact on information retrieval performance of broad coverage automatic pronoun resolution. Results indicate that this approach has potential to improve both precision at fixed cutoff levels and average precision.
面向信息检索的大覆盖代词自动解析研究
术语加权方法已被证明能显著提高信息检索性能。代词引用在文档中的存在降低了相关词的术语频率,从而影响了术语权重和信息检索行为。本研究探讨了广覆盖代词自动解析对信息检索性能的影响。结果表明,该方法有可能提高固定截止水平下的精度和平均精度。
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