Knowledge Acquisition from Natural Language with Treebank Semantics and FLORA-2

被引：0
作者：
Butler, Alastair [1 ]
机构：
[1] Hirosaki Univ, Fac Humanities & Social Sci, Bunkyo Cho 1, Hirosaki, Aomori 0368560, Japan
来源：
NEW FRONTIERS IN ARTIFICIAL INTELLIGENCE, JSAI-ISAI 2020 | 2021年 / 12758卷
基金：
日本学术振兴会;
关键词：
Knowledge representation; Treebank annotation; Analysis conversion; Discourse dependencies; Clause local dependencies;
D O I：
10.1007/978-3-030-79942-7_3
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Knowledge acquisition in this paper concerns converting raw natural language input into database entries. This is achieved by linking two systems: Treebank Semantics and Flora-2. Treebank Semantics (Butler 2021) is an implemented grammar system that converts parsed constituency trees from a treebank parser into logic based representations that capture sentence and discourse dependencies. Further postprocessing produces content for Flora-2, "a sophisticated object-based knowledge representation and reasoning system" (Kifer et al. 2020). A running example illustrates capabilities and use of the combined systems.
引用
收藏
页码：37 / 49
页数：13
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