Qcorp: an annotated classification corpus of Chinese health questions.

ABSTRACT:

Background

Health question-answering (QA) systems have become a typical application scenario of Artificial Intelligent (AI). An annotated question corpus is prerequisite for training machines to understand health information needs of users. Thus, we aimed to develop an annotated classification corpus of Chinese health questions (Qcorp) and make it openly accessible.

Methods

We developed a two-layered classification schema and corresponding annotation rules on basis of our previous work. Using the schema, we annotated 5000 questions that were randomly selected from 5 Chinese health websites within 6 broad sections. 8 annotators participated in the annotation task, and the inter-annotator agreement was evaluated to ensure the corpus quality. Furthermore, the distribution and r

SUBMITTER: Guo H 

PROVIDER: S-EPMC5872377 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature