Answering Count Queries with Explanatory Evidence-Reference-Cited by-同舟云学术

Answering Count Queries with Explanatory Evidence

Published:2022-07-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Ghosh Shrestha¹,Razniewski Simon²,Weikum Gerhard²

Affiliation:

1. Max Planck Institute for Informatics & Saarland University, Saarbruecken, Germany

2. Max Planck Institute for Informatics, Saarbruecken, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477495.3531870

Reference29 articles.

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3. Danqi Chen Adam Fisch Jason Weston and Antoine Bordes. 2017. Reading Wikipedia to Answer Open-Domain Questions. In ACL. Danqi Chen Adam Fisch Jason Weston and Antoine Bordes. 2017. Reading Wikipedia to Answer Open-Domain Questions. In ACL.

4. Dennis Diefenbach , Vanessa López , Kamal Deep Singh, and Pierre Maret . 2018 . Core techniques of question answering systems over knowledge bases: a survey. In Knowl. Inf. Syst . Dennis Diefenbach, Vanessa López, Kamal Deep Singh, and Pierre Maret. 2018. Core techniques of question answering systems over knowledge bases: a survey. In Knowl. Inf. Syst.

5. Dennis Diefenbach , Pedro Henrique Migliatti , Omar Qawasmeh, Vincent Lully, Kamal Singh, and Pierre Maret. 2019 . QAnswer: A Question Answering prototype bridging the gap between a considerable part of the LOD cloud and end-users. In WWW. Dennis Diefenbach, Pedro Henrique Migliatti, Omar Qawasmeh, Vincent Lully, Kamal Singh, and Pierre Maret. 2019. QAnswer: A Question Answering prototype bridging the gap between a considerable part of the LOD cloud and end-users. In WWW.

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