Home » Local Self-Attention over Long Text for Efficient Document Retrieval

Local Self-Attention over Long Text for Efficient Document Retrieval

Authors: 
Sebastian Hofstätter
Hamed Zamani
Bhaskar Mitra
Nick Craswell
Type: 
Speech with proceedings
Proceedings: 
SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
Publisher: 
Association for Computing Machinery, New York, NY, United States
Pages: 
2021 - 2024
ISBN: 
ISBN: 978-1-4503-8016-4
Year: 
2020
Abstract: 
TU Focus: 
Information and Communication Technology
Reference: 

S. Hofstätter, H. Zamani, B. Mitra, N. Craswell, A. Hanbury:
"Local Self-Attention over Long Text for Efficient Document Retrieval";
Vortrag: SIGIR 2020 - 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Xi'an, China; 25.07.2020 - 30.07.2020; in: "SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval", Association for Computing Machinery, New York, NY, United States, (2020), ISBN: 978-1-4503-8016-4; S. 2021 - 2024.

PDF Link: 
Last changed: 
09.01.2021 16:47:21
TU Id: 
294158
Accepted: 
Accepted
Invited: 
Department Focus: 
Business Informatics
Info Link: 
https://publik.tuwien.ac.at/showentry.php?ID=294158&lang=1
Abstract German: 
Author List: 
S. Hofstätter, H. Zamani, B. Mitra, N. Craswell, A. Hanbury