Work

Automatic generation of short answer questions for reading comprehension assessment

Year: 2016

Type: article

Source: Natural Language Engineering

DOI: 10.1017/s1351324915000455

Authors: YAN HUANG, LIANZHEN HE

Institutions: University of Cambridge, Zhejiang University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2336465850

FWCI: 1.453

Cites: 74

Cited by: 32

Related to: 10