Chinese Knowledge Base Question Answering by Attention-Based Multi-Granularity Model
Chinese knowledge base question answering (KBQA) is designed to answer the questions with the facts contained in a knowledge base. This task can be divided into two subtasks: topic entity extraction and relation selection. During the topic entity extraction stage, an entity extraction model is built...
Main Authors: | Cun Shen, Tinglei Huang, Xiao Liang, Feng Li, Kun Fu |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-04-01
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Series: | Information |
Subjects: | |
Online Access: | http://www.mdpi.com/2078-2489/9/4/98 |
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