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Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading
  Comprehension

Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension

11 June 2019
Minghao Hu
Yuxing Peng
Zhen Huang
Dongsheng Li
    RALM
ArXivPDFHTML

Papers citing "Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension"

6 / 6 papers shown
Title
Double Retrieval and Ranking for Accurate Question Answering
Double Retrieval and Ranking for Accurate Question Answering
Zeyu Zhang
Thuy Vu
Alessandro Moschitti
24
11
0
16 Jan 2022
Multi Document Reading Comprehension
Multi Document Reading Comprehension
Avi Chawla
14
0
0
05 Jan 2022
Answering Open-Domain Questions of Varying Reasoning Steps from Text
Answering Open-Domain Questions of Varying Reasoning Steps from Text
Peng Qi
Haejun Lee
OghenetegiriTGSido
Christopher D. Manning
KELM
RALM
LRM
191
55
0
23 Oct 2020
Table Search Using a Deep Contextualized Language Model
Table Search Using a Deep Contextualized Language Model
Zhiyu Zoey Chen
M. Trabelsi
J. Heflin
Yinan Xu
Brian D. Davison
LMTD
23
56
0
19 May 2020
Pre-training Tasks for Embedding-based Large-scale Retrieval
Pre-training Tasks for Embedding-based Large-scale Retrieval
Wei-Cheng Chang
Felix X. Yu
Yin-Wen Chang
Yiming Yang
Sanjiv Kumar
RALM
11
301
0
10 Feb 2020
A Multi-Type Multi-Span Network for Reading Comprehension that Requires
  Discrete Reasoning
A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning
Minghao Hu
Yuxing Peng
Zhen Huang
Dongsheng Li
AIMat
LRM
26
90
0
15 Aug 2019
1