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Is Graph Structure Necessary for Multi-hop Question Answering?
v1v2 (latest)

Is Graph Structure Necessary for Multi-hop Question Answering?

7 April 2020
Nan Shao
Yiming Cui
Ting Liu
Shijin Wang
Guoping Hu
    GNN
ArXiv (abs)PDFHTML

Papers citing "Is Graph Structure Necessary for Multi-hop Question Answering?"

13 / 13 papers shown
Title
GenDec: A robust generative Question-decomposition method for Multi-hop
  reasoning
GenDec: A robust generative Question-decomposition method for Multi-hop reasoning
Jian Wu
Linyi Yang
Yuliang Ji
Wenhao Huang
Börje F. Karlsson
Manabu Okumura
90
7
0
17 Feb 2024
Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question
  Answering
Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering
Siyuan Wang
Zhongyu Wei
Zhihao Fan
Tao Gui
Xuanjing Huang
LRM
133
9
0
22 Aug 2022
Reasoning Chain Based Adversarial Attack for Multi-hop Question
  Answering
Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering
Jiayu Ding
Siyuan Wang
Qin Chen
Zhongyu Wei
AAMLOODLRM
66
4
0
17 Dec 2021
Towards Interpretable and Reliable Reading Comprehension: A Pipeline
  Model with Unanswerability Prediction
Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction
Kosuke Nishida
Kyosuke Nishida
Itsumi Saito
Sen Yoshida
128
7
0
17 Nov 2021
Parameter-Efficient Neural Question Answering Models via Graph-Enriched
  Document Representations
Parameter-Efficient Neural Question Answering Models via Graph-Enriched Document Representations
Louis Castricato
Stephen Fitz
W. Shin
GNN
68
0
0
01 Jun 2021
Generative Context Pair Selection for Multi-hop Question Answering
Generative Context Pair Selection for Multi-hop Question Answering
Dheeru Dua
Cicero Nogueira dos Santos
Patrick Ng
Ben Athiwaratkun
Bing Xiang
Matt Gardner
Sameer Singh
LRM
51
2
0
18 Apr 2021
Memory Augmented Sequential Paragraph Retrieval for Multi-hop Question
  Answering
Memory Augmented Sequential Paragraph Retrieval for Multi-hop Question Answering
Nan Shao
Yiming Cui
Ting Liu
Shijin Wang
Guoping Hu
KELM
91
5
0
07 Feb 2021
Unsupervised Explanation Generation for Machine Reading Comprehension
Unsupervised Explanation Generation for Machine Reading Comprehension
Yiming Cui
Ting Liu
Shijin Wang
Guoping Hu
LRM
45
3
0
13 Nov 2020
F1 is Not Enough! Models and Evaluation Towards User-Centered
  Explainable Question Answering
F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering
Hendrik Schuff
Heike Adel
Ngoc Thang Vu
ELM
94
20
0
13 Oct 2020
A Survey on Explainability in Machine Reading Comprehension
A Survey on Explainability in Machine Reading Comprehension
Mokanarangan Thayaparan
Marco Valentino
André Freitas
FaML
151
51
0
01 Oct 2020
Machine Reading Comprehension: The Role of Contextualized Language
  Models and Beyond
Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond
Zhuosheng Zhang
Hai Zhao
Rui Wang
132
63
0
13 May 2020
Longformer: The Long-Document Transformer
Longformer: The Long-Document Transformer
Iz Beltagy
Matthew E. Peters
Arman Cohan
RALMVLM
394
4,380
0
10 Apr 2020
Hierarchical Graph Network for Multi-hop Question Answering
Hierarchical Graph Network for Multi-hop Question Answering
Yuwei Fang
S. Sun
Zhe Gan
R. Pillai
Shuohang Wang
Jingjing Liu
246
177
0
09 Nov 2019
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