MSReNet: Multi-step Reformulation for Open-Domain Question Answering

Download
Full text for this resource is not available from the Research Repository.
Export

Han, Weiguang, Peng, Min, Xie, Qianqian, Zhang, Xiuzhen and Wang, Hua ORCID: 0000-0002-8465-0996 (2020) MSReNet: Multi-step Reformulation for Open-Domain Question Answering. In: CCF International Conference on Natural Language Processing and Chinese Computing, 13 October 2021- 17 October 2021, Qingdao, China.

Dimensions Badge

Altmetric Badge

Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/44360
DOI 10.1007/978-3-030-60457-8_24
Official URL https://link.springer.com/chapter/10.1007/978-3-03...
ISBN 9783030604561 (print) 9783030604578 (online)
Subjects Current > FOR (2020) Classification > 4611 Machine learning
Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords open-domain question answering, MSReNet, retrieval
Citations in Scopus 1 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login

CORE (COnnecting REpositories)