Unsupervised Information Extraction with Distributional Prior Knowledge
We address the task of automatic discovery of information extraction template from a given text collection. Our approach clusters candidate slot fillers to identify meaningful template slots. We propose a generative model that incorporates distributional prior knowledge to help distribute candidates...
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Main Authors: | LEUNG, Cane Wing-ki, JIANG, Jing, CHAI, Kian Ming A., Chieu, Hai Leong, Teow, Loo-Nin |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2011
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Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/1376 https://ink.library.smu.edu.sg/context/sis_research/article/2375/viewcontent/D11_1075.pdf |
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Institution: | Singapore Management University |
Language: | English |
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