# Multi-Module System for Open Domain Chinese Question Answering over Knowledge Base

Source: [Multi-Module System for Open Domain Chinese Question Answering over Knowledge Base](<https://www.sota2.com/research/paper/68fa66911e209131cea10ec6>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-27T05:59:47.071Z

Authors: Yiying Yang, Xiahui He, Kaijie Zhou, Zhongyu Wei

Published: 2019-10-28T07:28:57.000Z

## Abstract

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.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1910.12477>)

[PDF](<https://arxiv.org/pdf/1910.12477.pdf>)