SS-BERT: A Semantic Information Selecting Approach for Open-Domain Question Answering
SS-BERT: A Semantic Information Selecting Approach for Open-Domain Question Answering
About this item
Full title
Author / Creator
Fu, Xuan , Du, Jiangnan , Zheng, Hai-Tao , Li, Jianfeng , Hou, Cuiqin , Zhou, Qiyu and Kim, Hong-Gee
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Open-Domain Question Answering (Open-Domain QA) aims to answer any factoid questions from users. Recent progress in Open-Domain QA adopts the “retriever-reader” structure, which has proven effective. Retriever methods are mainly categorized as sparse retrievers and dense retrievers. In recent work, the dense retriever showed a stronger semantic int...
Alternative Titles
Full title
SS-BERT: A Semantic Information Selecting Approach for Open-Domain Question Answering
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2799621180
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2799621180
Other Identifiers
ISSN
2079-9292
E-ISSN
2079-9292
DOI
10.3390/electronics12071692
