A survey on neural question generation : Methods, applications, and prospects
In this survey, we present a detailed examination of the advancements in Neural Question Generation (NQG), a field leveraging neural network techniques to generate relevant questions from diverse inputs like knowledge bases, texts, and images. The survey begins with an overview of NQG’s background,...
Saved in:
Main Authors: | GUO, Shasha, LIAO, Lizi, LI, Cuiping, CHUA, Tat-Seng |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2024
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/9699 https://ink.library.smu.edu.sg/context/sis_research/article/10699/viewcontent/2402.18267v2.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
SGSH : Stimulate Large Language Models with skeleton heuristics for knowledge base question generation
by: GUO, Shasha, et al.
Published: (2024) -
Knowledge base question answering with topic units
by: LAN, Yunshi, et al.
Published: (2019) -
TOWARDS GENERATING DEEP QUESTIONS FROM TEXT
by: PAN, LIANGMING
Published: (2022) -
Improving the numerical reasoning skills of question answer systems in finance
by: Bhatia Nipun
Published: (2024) -
Segmentation of multi-sentence questions: Towards effective question retrieval in cQA services
by: Wang, K., et al.
Published: (2013)