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13

IJCNLP
2004
Springer

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A Persistent Feature-Object Database for Intelligent Text Archive Systems

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A Persistent Feature-Object Database for Intelligent Text Archive Systems

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This paper describes an intelligent text archive system in which typed feature structures are embedded. The aim of the system is to associate feature structures with regions in text, to make indexes for efﬁcient retrieval, to allow users to specify both structure and proximity, and to enable inference on typed feature structures embedded in text. We propose a persistent mechanism for storing typed feature structures and the architecture of the text archive system.

Takashi Ninomiya, Jun-ichi Tsujii, Yusuke Miyao

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IJCNLP 2004 | Intelligent Text Archive | Text Archive | Typed Feature Structures |

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Added	02 Jul 2010
Updated	02 Jul 2010
Type	Conference
Year	2004
Where	IJCNLP
Authors	Takashi Ninomiya, Jun-ichi Tsujii, Yusuke Miyao

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