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Exploring Domain Differences for the Design of Pronoun Resolution Systems for Biomedical Text

机译:探索领域差异的生物医学文本代词解析系统的设计

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Much effort in the research community has been spent on solving the anaphora resolution or pronoun resolution problem, and in particular for news texts. In order to selectively inherit the previous works and solve the same problem for a new domain, we carried out a comparative study with three different corpora: MUC, ACE for the news texts, and GENIA for bio-medical papers. Our corpus analysis and experimental results show the significant differences in the use of pronouns in the two domains, thus by properly considering the characteristics of a domain, we can improve the performance of pronoun resolution for that domain.
机译:在研究界已花费很多精力来解决回指解析或代词解析问题,尤其是新闻文本。为了有选择地继承以前的著作并为新领域解决相同的问题,我们使用三种不同的语料库进行了比较研究:MUC,ACE的新闻文本和GENIA的生物医学论文。我们的语料库分析和实验结果表明,在两个域中代词的使用存在显着差异,因此,通过适当考虑域的特征,我们可以提高该域的代词解析性能。

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