An integrated architecture for shallow and deep processing

被引：0

作者：

Crysmann, B ^{[1
]}

Frank, A ^{[1
]}

Kiefer, B ^{[1
]}

Müller, S ^{[1
]}

Neumann, G ^{[1
]}

Piskorski, J ^{[1
]}

Schäfer, U ^{[1
]}

Siegel, M ^{[1
]}

Uszkoreit, H ^{[1
]}

Xu, FY ^{[1
]}

Becker, M ^{[1
]}

Krieger, HU ^{[1
]}

机构：

[1] DFKI GmbH, Saarbrucken, Germany

来源：

40TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE | 2002年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present an architecture for the integration of shallow and deep NLP components which is aimed at flexible combination of different language technologies for a range of practical current and future applications. In particular, we describe the integration of a high-level HPSG parsing system with different high-performance shallow components, ranging from named entity recognition to chunk parsing and shallow clause recognition. The NLP components enrich a representation of natural language text with layers of new XML meta-information using a single shared data structure, called the text chart. We describe details of the integration methods, and show how information extraction and language checking applications for realworld German text benefit from a deep grammatical analysis.

引用

页码：441 / 448

页数：8

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