Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIR-Reference-Cited by-同舟云学术

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Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIR

Published:2024-07-10 Issue: Volume:618 Page:1420-1430
ISSN:
Container-title:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Thakur Nandan¹^ORCID,Bonifacio Luiz²^ORCID,Fröbe Maik³^ORCID,Bondarenko Alexander⁴^ORCID,Kamalloo Ehsan¹^ORCID,Potthast Martin⁵^ORCID,Hagen Matthias³^ORCID,Lin Jimmy¹^ORCID

Affiliation:

1. University of Waterloo, Waterloo, Canada

2. UNICAMP & University of Waterloo, Campinas, Brazil

3. Friedrich-Schiller-Universität Jena, Jena, Germany

4. Leipzig University & Friedrich-Schiller-Universität Jena, Jena, Germany

5. University of Kassel, hessian.AI, and ScaDS.AI, Kassel, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626772.3657861

Reference75 articles.

1. Data Acquisition for Argument Search: The args.me Corpus

2. Frequentist and Bayesian Approach to Information Retrieval

3. Shallow pooling for sparse labels

4. Steven Bird Ewan Klein and Edward Loper. 2009. Natural Language Processing with Python. O'Reilly. http://www.oreilly.de/catalog/9780596516499/index.html

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Resources for Brewing BEIR: Reproducible Reference Models and Statistical Analyses;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

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