发帖
雷达卡
摘要翻译：
本文描述了一个能够从临床领域（实践指南）的自由文本中半自动填充XML模板的系统。XML模板包括文本中未显式编码的语义信息（条件和操作/建议对）。因此，需要计算表达所需动作的文本序列上条件的确切范围。我们给出了一个针对此任务开发的系统。我们表明，当应用于法国实践指南的分析时，它产生了良好的性能。
---
英文标题：
《Automatically Restructuring Practice Guidelines using the GEM DTD》
---
作者：
Amanda Bouffier (LIPN), Thierry Poibeau (LIPN)
---
最新提交年份：
2007
---
分类信息：
一级分类：Computer Science 计算机科学
二级分类：Artificial Intelligence 人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
--
---
英文摘要：
This paper describes a system capable of semi-automatically filling an XML template from free texts in the clinical domain (practice guidelines). The XML template includes semantic information not explicitly encoded in the text (pairs of conditions and actions/recommendations). Therefore, there is a need to compute the exact scope of conditions over text sequences expressing the required actions. We present a system developed for this task. We show that it yields good performance when applied to the analysis of French practice guidelines.
---
PDF链接：
https://arxiv.org/pdf/0706.1137
京公网安备 11010802022788号
