Baud R H, Rassinoux A M, Lovis C, Wagner J, Griesser V, Michel P A, Scherrer J R
Division d'Informatique Médicale, University Hospital of Geneva, Switzerland.
Proc AMIA Annu Fall Symp. 1996:70-4.
This paper aims at reviewing the problem of feeding Natural Language Processing (NLP) tools with convenient linguistic knowledge in the medical domain. A syntactic approach lacks the potential to solve a number of typical situations with ambiguities and is clearly insufficient for quality treatment of natural language. On the other hand, a conceptual approach relies on some modelling of the domain, of which the elaboration is d long-term process and where the ultimate solutions are far from being recognised and universally accepted. In-between is the beauty of the compromise. How can we significantly improve the coverage of linguistic knowledge in the years to come?
本文旨在探讨在医学领域为自然语言处理(NLP)工具提供便捷语言知识这一问题。句法方法缺乏解决诸多具有歧义的典型情况的潜力,显然不足以对自然语言进行高质量处理。另一方面,概念方法依赖于对该领域的某种建模,而这一建模过程是一个长期过程,其最终解决方案远未得到认可和普遍接受。折中的妙处就在于此。在未来几年,我们如何能显著提高语言知识的覆盖范围呢?