Multi-Module System for Open Domain Chinese Question Answering over Knowledge Base
Yiying Yang, Xiahui He, Kaijie Zhou, Zhongyu Wei · arXiv (Cornell University) · 2019
For the task of open domain Knowledge Based Question Answering in CCKS2019, we propose a method combining information retrieval and semantic parsing. This multi-module system extracts the topic entity and the most related relation predicate from a question and transforms it into a Sparql query statement. Our method obtained the F1 score of 70.45% on the test data.