THE ANALYSIS AND ACQUISITION OF PROPER-NAMES FOR THE UNDERSTANDING OF FREE-TEXT
THE ANALYSIS AND ACQUISITION OF PROPER-NAMES FOR THE UNDERSTANDING OF FREE-TEXT
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DOI：
10.1007/bf00136985
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发表时间：
1992-12-01
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影响因子：
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通讯作者：
COATESSTEPHENS, S
中科院分区：
文献类型：
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作者：
COATESSTEPHENS, S
专有名词（PN）提出了一个问题，自动处理和理解自然发生的文本。由于它们在现有词汇资源中的覆盖率很低，而且新名称不断出现，它们代表了大量未知的词汇数据。此外，它们可能出现的结构的复杂性和它们自己的内部结构使它们难以处理，即使它们最初是已知的。然而，成功地分析名称往往是至关重要的，以充分理解一个文本。本文提出了一种解决方案，并描述了一个自然语言处理（NLP）系统，FUNES，它利用的内部结构的名称和描述性信息，定期伴随着他们产生的词汇和知识库条目未知的PN。我们提出了一些初步的结果表明，这种方法的可行性识别专有名称。
Proper Names (PNs) present a problem for the automatic processing and understanding of naturally occurring text. Due to their poor coverage in existing lexical resources and the continual appearance of new names, they represent a large body of unknown lexical data. Moreover, the complexity of the constructions in which they can appear and their own internal structure make them difficult to process, even if they are initially known. Yet the successful analysis of names is often crucial to the full understanding of a text. This paper proposes a solution to the problem and describes a natural language processing (NLP) system, FUNES, which makes use of the internal structure of names and the descriptive information that regularly accompanies them to produce lexical and knowledge base entries for unknown PNs. We present some preliminary results showing the viability of this approach for the identification of proper names.