Tevatron: An Efficient and Flexible Toolkit for Neural Retrieval-Reference-Cited by-同舟云学术

Tevatron: An Efficient and Flexible Toolkit for Neural Retrieval

Published:2023-07-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Gao Luyu¹^ORCID,Ma Xueguang²^ORCID,Lin Jimmy²^ORCID,Callan Jamie¹^ORCID

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA, USA

2. University of Waterloo, Waterloo, ON, Canada

Funder

Natural Sciences and Engineering Research Council (NSERC) of Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539618.3591805

Reference26 articles.

1. XOR QA: Cross-lingual Open-Retrieval Question Answering

2. Jonathan Berant , Andrew Chou , Roy Frostig , and Percy Liang . 2013 . Semantic Parsing on Freebase from Question-Answer Pairs . In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing . Seattle, Washington, 1533--1544. Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang. 2013. Semantic Parsing on Freebase from Question-Answer Pairs. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. Seattle, Washington, 1533--1544.

3. James Bradbury , Roy Frostig , Peter Hawkins , Matthew James Johnson , Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang. 2018 . JAX: composable transformations of PythonNumPy programs. Google . James Bradbury, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang. 2018. JAX: composable transformations of PythonNumPy programs. Google.

4. TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

5. SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking

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