Perpustakaan Fakultas Ilmu Komputer

Call Number	SEM-369
Collection Type	Indeks Artikel prosiding/Sem
Title	Causality Knowledge Extraction Based On Causal Verb Rules (hal 5-8)
Author	Departement Of Computer Engineering Kasetsart University;
Publisher	Satellite workshop on language artifical intelligence and computer science for natural processing applications (LAICS-NLP) October 19 2006
Subject
Location

Lokasi : Perpustakaan Fakultas Ilmu Komputer

Nomor Panggil	ID Koleksi	Status
SEM-369		TERSEDIA

Tidak ada review pada koleksi ini: 45909

The aiming of this paper is to automatically extract the causality knowledge from documents for the contribution knowledge sources of the question answering system. This paper is only concern of extracting the causality knowledge from a single sentence or EDU (Elementary Discourse Units) with two problems of the causality identification and the zero anaphora. Then, we propose the usage of causal verb rules mined from the specified sentence pattern by ID3 to extract the causality knowledge of the single EDU. However, our intra-casual EDU extraction model shows the 0.87 precision and the 0.73 recall.