RAP指代消解算法的公共参考实现
A Public Reference Implementation of the RAP Anaphora Resolution Algorithm
摘要：
本文描述了Lappin和Leass（1994）提出的指代消解过程（RAP）的一个独立的、公开可用的实现。RAP算法解析第三人称代词、词汇照应词，并识别多义性代词。我们的实现，JavaRAP，填补了当前需要的照应解决方案的研究提供了一个参考实现，可以对当前的算法进行基准测试。该实现使用标准的、公开可用的Charniak（2000）解析器作为输入，并生成一个照应词-先行词对列表作为输出。或者，可以生成就地注释或用先行词替换回指词。对MUC-6共同引用任务的评估显示，JavaRAP的准确率为57.9%，与文献中先前给出的性能相似（例如，Preiss 2002）。
英文摘要：
This paper describes a standalone, publicly-available implementation of the Resolution of Anaphora Procedure (RAP) given by Lappin and Leass (1994). The RAP algorithm resolves third person pronouns, lexical anaphors, and identifies pleonastic pronouns. Our implementation, JavaRAP, fills a current need in anaphora resolution research by providing a reference implementation that can be benchmarked against current algorithms. The implementation uses the standard, publicly available Charniak (2000) parser as input, and generates a list of anaphora-antecedent pairs as output. Alternately, an in-place annotation or substitution of the anaphors with their antecedents can be produced. Evaluation on the MUC-6 co-reference task shows that JavaRAP has an accuracy of 57.9%, similar to the performance given previously in the literature (e.g., Preiss 2002).
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