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...

Full description

Saved in:
Bibliographic Details
Main Authors: LEUNG, Cane Wing-ki, JIANG, Jing, CHAI, Kian Ming A., Chieu, Hai Leong, Teow, Loo-Nin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2011
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Similar Items