通过语义表示增强自动提取的树相邻语法

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI:10.1109/NLPKE.2010.5587766

Heshaam Faili, A. Basirat

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引用次数: 3

摘要

MICA[1]是一个快速准确的英语依赖解析器，它使用Chen的方法[7]，使用从Penn Treebank (PTB)派生的自动LTAG。然而，没有与语法相关的语义表示。另一方面，XTAG[20]语法是手工制作的LTAG，其基本树由专家用语义表示进行了丰富。嵌入在XTAG语法中的语言知识使其在各种自然语言应用程序中得到广泛使用。但是，当前的XTAG解析器不像MICA解析器那样快速和准确。

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Augmenting the automated extracted tree adjoining grammars by semantic representation

MICA [1] is a fast and accurate dependency parser for English that uses an automatically LTAG derived from Penn Treebank (PTB) using the Chen's approach [7]. However, there is no semantic representation related to its grammar. On the other hand, XTAG [20] grammar is a hand crafted LTAG that its elementary trees were enriched with the semantic representation by experts. The linguistic knowledge embedded in the XTAG grammar caused it to being used in wide variety of natural language applications. However, the current XTAG parser is not as fast and accurate as well as the MICA parser.

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Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)

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