Notice
This item was automatically migrated from a legacy system. It's data has not been checked and might not meet the quality criteria of the present system.
Record link: 
http://hdl.handle.net/20.500.12708/58759
-
Title: 
Intra-Document Cascading : Learning to Select Passages for Neural Document Ranking
-
Citation: 
Hofstätter, S., Mitra, B., Zamani, H., Craswell, N., & Hanbury, A. (2021). Intra-Document Cascading : Learning to Select Passages for Neural Document Ranking. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2021 - The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, online, Unknown. ACM. https://doi.org/10.1145/3404835.3462889
-
Publisher DOI: 
10.1145/3404835.3462889
-
Publication Type: 
Inproceedings - Full-Paper Contribution
en
Authors: 
Hofstätter, Sebastian 
Mitra, Bhaskar 
Zamani, Hamed 
Craswell, Nick 
Hanbury, Allan 
-
Organisational Unit: 
E194-04 - Forschungsbereich E-Commerce 
-
Published in: 
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval 
-
Date (published): 
2021
-
Event name: 
SIGIR 2021 - The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval 
-
Event date: 
11-Jul-2021 - 15-Jul-2021
-
Event place: 
online, Unknown
-
Number of Pages: 
10
-
Publisher: 
ACM
-
Peer reviewed: 
Yes
-
Research Areas: 
Information Systems Engineering: 100%
-
Science Branch: 
Informatik
-
Appears in Collections:
Conference Paper

Show full item record

Page view(s)

205
checked on Nov 23, 2023

Google ScholarTM

Check