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
language:
Short-container-title:

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

Cited by 5 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. Enhancing Sparse Retrieval via Unsupervised Learning;Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region;2023-11-26

2. Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

3. Pre-processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering;Lecture Notes in Computer Science;2023

4. Neural Approaches to Multilingual Information Retrieval;Lecture Notes in Computer Science;2023

5. MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse Languages;Transactions of the Association for Computational Linguistics;2023