Acquisition of Selectional Patterns
Acquisition of Selectional Patterns
复制标题
选择模式的获取
DOI：
10.3115/992133.992172
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发表时间：
1992
期刊：
影响因子：
--
通讯作者：
J. Sterling
中科院分区：
文献类型：
--
作者：
R. Grishman;J. Sterling
对于大多数自然语言分析系统来说，将系统移植到新领域的主要障碍之一是开发一组合适的语义模式。通常需要这样的模式来指导语法分析(作为选择约束)和控制转换为谓词-论元表示。随着系统被移植到更复杂的领域，模式集不断增长，手动积累模式的任务变得更加艰巨。因此，人们越来越有兴趣通过分析原始文本(单词序列)或解析文本中的单词共现模式，从领域中的文本样本中自动获取这样的模式。在本文的后面，我们将简要回顾其中的一些工作。我们一直特别关注使用这种技术取代手动编码来开发新领域的选择模式的实用性。因此，在这里报告的实验中，我们特别关注我们自动生成的模式的评估，就其完备性和准确性而言，以及就其在解析期间执行选择的有效性而言。
For most natural language analysis systems, one of the major hurdles in porting the system to a new domain is the development of an appropriate set of semantic patterns. Such patterns are typically needed to guide syntactic analysis (as selectional constraints) and to control the translation into a predicate-argument representation. As systems are ported to more complex domains, the set of patterns grows and the task of accumulating them manually becomes more formidable. There has therefore been increasing interest in acquiring such patterns automatically froin a sample of text in the domain, through an analysis of word co-occurrence patterns either in raw text (word sequences) or in parsed text. We briefly review some of this work later in the article. We have been specificaily concerned about the practicality of using such techniques in place of manual encoding to develop the selectional patterns for new domains. In the experiments reported here, we have therefore been particularly concerned with the evaluation of our automatically generated patterns, in terms of their completehess and accuracy and in terms of their efficacy in performing selection during parsing.