Question Generation
Question Generation is a natural language generation task that involves automatically producing interrogative sentences from a given input such as a text passage, fact, or knowledge base, distinguishing it from other text generation tasks by its focus on forming syntactically and semantically valid questions rather than statements or summaries.
589
Publications
27.4K
Citations
1.8K
Authors
513
Institutions
Publications per year
2017–2026
385
589
Good Question! Statistical Ranking for Question Generation
Michael Heilman, Noah A. Smith · Figshare · 2018 · 399 citations · Full text
Exploring Models and Data for Image Question Answering
Mengye Ren · arXiv (Cornell University) · 2015 · 390 citations · Full text
1–5 of 589
1.8K
12
h-index
11
h-index
10
h-index
7
h-index
7
h-index
1–5 of 1.8K
513
Carnegie Mellon University
Pittsburgh, United States
14 h-index
52 publications
4K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
13 h-index
39 publications
3.2K citations

Chinese Academy of Sciences
Beijing, China
11 h-index
30 publications
2.5K citations
University of Memphis
Memphis, United States
11 h-index
24 publications
2.6K citations
Microsoft (United States)
Redmond, United States
11 h-index
28 publications
2.6K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
11 h-index
31 publications
1.4K citations
Google (United States)
Mountain View, United States
10 h-index
31 publications
2.2K citations

Peking University
Beijing, China
10 h-index
27 publications
965 citations
1–8 of 513
Repository · 57 publications · 2.4K citations
25
h-index
Conference · 16 publications · 994 citations
15
h-index
Conference · 9 publications · 266 citations
9
h-index
7 publications · 460 citations
7
h-index
8 publications · 275 citations
7
h-index
1–5