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Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins

Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins

2 June 2021
S. Suri
Ihab F. Ilyas
Christopher Ré
Theodoros Rekatsinas
ArXivPDFHTML

Papers citing "Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins"

4 / 4 papers shown
Title
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
A. Mumuni
F. Mumuni
55
4
0
13 Mar 2024
Retrieving and Reading: A Comprehensive Survey on Open-domain Question
  Answering
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering
Fengbin Zhu
Wenqiang Lei
Chao Wang
Jianming Zheng
Soujanya Poria
Tat-Seng Chua
RALM
208
251
0
04 Jan 2021
Bootleg: Chasing the Tail with Self-Supervised Named Entity
  Disambiguation
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation
Laurel J. Orr
Megan Leszczynski
Simran Arora
Sen Wu
Neel Guha
Xiao Ling
Christopher Ré
122
48
0
20 Oct 2020
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for
  Open-Domain Question Answering
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering
Yingqi Qu
Yuchen Ding
Jing Liu
Kai Liu
Ruiyang Ren
Xin Zhao
Daxiang Dong
Hua-Hong Wu
Haifeng Wang
RALM
OffRL
206
593
0
16 Oct 2020
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