Overview of the NLPCC 2017 Shared Task: Open Domain Chinese Question Answering

被引：3

作者：

Duan, Nan ^{[1
]}

Tang, Duyu ^{[1
]}

机构：

[1] Microsoft Res Asia, Beijing, Peoples R China

来源：

NATURAL LANGUAGE PROCESSING AND CHINESE COMPUTING, NLPCC 2017 | 2018年 / 10619卷

关键词：

Question answering; Knowledge-based QA; Document-based QA; Table-based QA;

D O I：

10.1007/978-3-319-73618-1_86

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we give the overview of the open domain Question Answering (or open domain QA) shared task in the NLPCC 2017. We first review the background of QA, and then describe two open domain Chinese QA tasks in this year's NLPCC, including the construction of the benchmark datasets and the evaluation metrics. The evaluation results of submissions from participating teams are presented in the experimental part.

引用

页码：954 / 961

页数：8