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NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering
  Dataset

NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset

22 September 2021
Qiyuan Zhang
Lei Wang
S. Yu
Shuohang Wang
Yang Wang
Jing Jiang
Ee-Peng Lim
    AIMat
ArXivPDFHTML

Papers citing "NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset"

38 / 38 papers shown
Title
A Diverse Corpus for Evaluating and Developing English Math Word Problem
  Solvers
A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers
Shen-Yun Miao
Chao-Chun Liang
Keh-Yih Su
64
338
0
30 Jun 2021
Explaining Answers with Entailment Trees
Explaining Answers with Entailment Trees
Bhavana Dalvi
Peter Alexander Jansen
Oyvind Tafjord
Zhengnan Xie
Hannah Smith
Leighanna Pipatanangkura
Peter Clark
ReLM
FAtt
LRM
280
185
0
17 Apr 2021
Are NLP Models really able to Solve Simple Math Word Problems?
Are NLP Models really able to Solve Simple Math Word Problems?
Arkil Patel
S. Bhattamishra
Navin Goyal
ReLM
LRM
78
829
0
12 Mar 2021
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of
  Reasoning Steps
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Xanh Ho
A. Nguyen
Saku Sugawara
Akiko Aizawa
RALM
LRM
60
449
0
02 Nov 2020
Semantically-Aligned Universal Tree-Structured Solver for Math Word
  Problems
Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems
Jinghui Qin
Lihui Lin
Xiaodan Liang
Rumin Zhang
Liang Lin
AIMat
44
67
0
14 Oct 2020
PRover: Proof Generation for Interpretable Reasoning over Rules
PRover: Proof Generation for Interpretable Reasoning over Rules
Swarnadeep Saha
Sayan Ghosh
Shashank Srivastava
Joey Tianyi Zhou
ReLM
LRM
61
77
0
06 Oct 2020
Measuring Systematic Generalization in Neural Proof Generation with
  Transformers
Measuring Systematic Generalization in Neural Proof Generation with Transformers
Nicolas Angelard-Gontier
Koustuv Sinha
Siva Reddy
C. Pal
LRM
81
64
0
30 Sep 2020
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and
  Textual Data
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
Wenhu Chen
Hanwen Zha
Zhiyu Zoey Chen
Wenhan Xiong
Hong Wang
Wenjie Wang
52
301
0
15 Apr 2020
Break It Down: A Question Understanding Benchmark
Break It Down: A Question Understanding Benchmark
Tomer Wolfson
Mor Geva
Ankit Gupta
Matt Gardner
Yoav Goldberg
Daniel Deutch
Jonathan Berant
68
188
0
31 Jan 2020
Unsupervised Cross-lingual Representation Learning at Scale
Unsupervised Cross-lingual Representation Learning at Scale
Alexis Conneau
Kartikay Khandelwal
Naman Goyal
Vishrav Chaudhary
Guillaume Wenzek
Francisco Guzmán
Edouard Grave
Myle Ott
Luke Zettlemoyer
Veselin Stoyanov
195
6,538
0
05 Nov 2019
NumNet: Machine Reading Comprehension with Numerical Reasoning
NumNet: Machine Reading Comprehension with Numerical Reasoning
Qiu Ran
Yankai Lin
Peng Li
Jie Zhou
Zhiyuan Liu
ReLM
AIMat
52
117
0
15 Oct 2019
R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for
  the Right Reason
R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason
Naoya Inoue
Pontus Stenetorp
Kentaro Inui
133
59
0
10 Oct 2019
Look before you Hop: Conversational Question Answering over Knowledge
  Graphs Using Judicious Context Expansion
Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion
Philipp Christmann
Rishiraj Saha Roy
Abdalghani Abujabal
Jyotsna Singh
Gerhard Weikum
34
95
0
08 Oct 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known
  Dataset Biases
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
OOD
71
465
0
09 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
543
24,422
0
26 Jul 2019
Compositional Questions Do Not Necessitate Multi-hop Reasoning
Compositional Questions Do Not Necessitate Multi-hop Reasoning
Sewon Min
Eric Wallace
Sameer Singh
Matt Gardner
Hannaneh Hajishirzi
Luke Zettlemoyer
82
149
0
07 Jun 2019
MathQA: Towards Interpretable Math Word Problem Solving with
  Operation-Based Formalisms
MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms
Aida Amini
Saadia Gabriel
Shanchuan Lin
Rik Koncel-Kedziorski
Yejin Choi
Hannaneh Hajishirzi
AIMat
ReLM
AI4CE
100
569
0
30 May 2019
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning
  Over Paragraphs
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
Dheeru Dua
Yizhong Wang
Pradeep Dasigi
Gabriel Stanovsky
Sameer Singh
Matt Gardner
AIMat
91
950
0
01 Mar 2019
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading
  Comprehension
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension
Kai Sun
Dian Yu
Jianshu Chen
Dong Yu
Yejin Choi
Claire Cardie
RALM
AIMat
42
295
0
01 Feb 2019
Translating a Math Word Problem to an Expression Tree
Translating a Math Word Problem to an Expression Tree
Lei Wang
Yan Wang
Deng Cai
Dongxiang Zhang
Xiaojiang Liu
AIMat
48
157
0
14 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.7K
94,729
0
11 Oct 2018
FlowQA: Grasping Flow in History for Conversational Machine
  Comprehension
FlowQA: Grasping Flow in History for Conversational Machine Comprehension
Hsin-Yuan Huang
Eunsol Choi
Wen-tau Yih
40
98
0
06 Oct 2018
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question
  Answering
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Zhilin Yang
Peng Qi
Saizheng Zhang
Yoshua Bengio
William W. Cohen
Ruslan Salakhutdinov
Christopher D. Manning
RALM
150
2,647
0
25 Sep 2018
CoQA: A Conversational Question Answering Challenge
CoQA: A Conversational Question Answering Challenge
Siva Reddy
Danqi Chen
Christopher D. Manning
RALM
HAI
98
1,201
0
21 Aug 2018
QuAC : Question Answering in Context
QuAC : Question Answering in Context
Eunsol Choi
He He
Mohit Iyyer
Mark Yatskar
Wen-tau Yih
Yejin Choi
Percy Liang
Luke Zettlemoyer
104
826
0
21 Aug 2018
How Much Reading Does Reading Comprehension Require? A Critical
  Investigation of Popular Benchmarks
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
Divyansh Kaushik
Zachary Chase Lipton
ELM
67
232
0
14 Aug 2018
QANet: Combining Local Convolution with Global Self-Attention for
  Reading Comprehension
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Adams Wei Yu
David Dohan
Minh-Thang Luong
Rui Zhao
Kai Chen
Mohammad Norouzi
Quoc V. Le
RALM
AIMat
90
1,095
0
23 Apr 2018
The Web as a Knowledge-base for Answering Complex Questions
The Web as a Knowledge-base for Answering Complex Questions
Alon Talmor
Jonathan Berant
72
580
0
18 Mar 2018
A Meaning-based Statistical English Math Word Problem Solver
A Meaning-based Statistical English Math Word Problem Solver
Chao-Chun Liang
Yu-Shiang Wong
Yi-Chung Lin
Keh-Yih Su
AIMat
44
23
0
16 Mar 2018
Mapping to Declarative Knowledge for Word Problem Solving
Mapping to Declarative Knowledge for Word Problem Solving
Subhro Roy
Dan Roth
ReLM
AIMat
49
102
0
26 Dec 2017
Program Induction by Rationale Generation : Learning to Solve and
  Explain Algebraic Word Problems
Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems
Wang Ling
Dani Yogatama
Chris Dyer
Phil Blunsom
AIMat
76
727
0
11 May 2017
RACE: Large-scale ReAding Comprehension Dataset From Examinations
RACE: Large-scale ReAding Comprehension Dataset From Examinations
Guokun Lai
Qizhe Xie
Hanxiao Liu
Yiming Yang
Eduard H. Hovy
ELM
165
1,346
0
15 Apr 2017
Get To The Point: Summarization with Pointer-Generator Networks
Get To The Point: Summarization with Pointer-Generator Networks
A. See
Peter J. Liu
Christopher D. Manning
3DPC
269
4,014
0
14 Apr 2017
OpenNMT: Open-Source Toolkit for Neural Machine Translation
OpenNMT: Open-Source Toolkit for Neural Machine Translation
Guillaume Klein
Yoon Kim
Yuntian Deng
Jean Senellart
Alexander M. Rush
325
1,900
0
10 Jan 2017
Machine Comprehension Using Match-LSTM and Answer Pointer
Machine Comprehension Using Match-LSTM and Answer Pointer
Shuohang Wang
Jing Jiang
73
594
0
29 Aug 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
254
8,124
0
16 Jun 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
985
23,338
0
03 Jun 2014
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