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MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
v1v2v3 (latest)

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

28 November 2016
Payal Bajaj
Daniel Fernando Campos
Nick Craswell
Li Deng
Jianfeng Gao
Xiaodong Liu
Rangan Majumder
Andrew McNamara
Bhaskar Mitra
Tri Nguyen
Mir Rosenberg
Xia Song
Alina Stoica
Saurabh Tiwary
Tong Wang
    RALM
ArXiv (abs)PDFHTML

Papers citing "MS MARCO: A Human Generated MAchine Reading COmprehension Dataset"

50 / 1,372 papers shown
Title
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
115
63
0
13 May 2020
A Self-Training Method for Machine Reading Comprehension with Soft
  Evidence Extraction
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction
Yilin Niu
Fangkai Jiao
Mantong Zhou
Ting Yao
Jingfang Xu
Minlie Huang
SyDa
70
34
0
11 May 2020
Crossing Variational Autoencoders for Answer Retrieval
Crossing Variational Autoencoders for Answer Retrieval
Wenhao Yu
Lingfei Wu
Qingkai Zeng
S. Tao
Yu Deng
Meng Jiang
DRLRALMOODBDL
49
15
0
06 May 2020
SLEDGE: A Simple Yet Effective Baseline for COVID-19 Scientific
  Knowledge Search
SLEDGE: A Simple Yet Effective Baseline for COVID-19 Scientific Knowledge Search
Sean MacAvaney
Arman Cohan
Nazli Goharian
85
23
0
05 May 2020
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term
  Importance Estimation and Neural Query Rewriting
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting
Sheng-Chieh Lin
Jheng-Hong Yang
Rodrigo Nogueira
Ming-Feng Tsai
Chuan-Ju Wang
Jimmy J. Lin
84
24
0
05 May 2020
Probabilistic Assumptions Matter: Improved Models for
  Distantly-Supervised Document-Level Question Answering
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering
Hao Cheng
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
98
22
0
05 May 2020
To Test Machine Comprehension, Start by Defining Comprehension
To Test Machine Comprehension, Start by Defining Comprehension
Jesse Dunietz
Greg Burnham
Akash Bharadwaj
Owen Rambow
Jennifer Chu-Carroll
D. Ferrucci
FaML
118
65
0
04 May 2020
DoQA -- Accessing Domain-Specific FAQs via Conversational QA
DoQA -- Accessing Domain-Specific FAQs via Conversational QA
Jon Ander Campos
Arantxa Otegi
Aitor Soroa Etxabe
Jan Deriu
Mark Cieliebak
Eneko Agirre
82
67
0
04 May 2020
Do Neural Ranking Models Intensify Gender Bias?
Do Neural Ranking Models Intensify Gender Bias?
Navid Rekabsaz
Markus Schedl
62
58
0
01 May 2020
KPQA: A Metric for Generative Question Answering Using Keyphrase Weights
KPQA: A Metric for Generative Question Answering Using Keyphrase Weights
Hwanhee Lee
Seunghyun Yoon
Franck Dernoncourt
Doo Soon Kim
Trung Bui
Joongbo Shin
Kyomin Jung
47
0
0
01 May 2020
Sparse, Dense, and Attentional Representations for Text Retrieval
Sparse, Dense, and Attentional Representations for Text Retrieval
Y. Luan
Jacob Eisenstein
Kristina Toutanova
M. Collins
92
409
0
01 May 2020
Information Seeking in the Spirit of Learning: a Dataset for
  Conversational Curiosity
Information Seeking in the Spirit of Learning: a Dataset for Conversational Curiosity
Pedro Rodriguez
Paul A. Crook
Seungwhan Moon
Zhiguang Wang
RALM
72
12
0
01 May 2020
STARC: Structured Annotations for Reading Comprehension
STARC: Structured Annotations for Reading Comprehension
Yevgeni Berzak
J. Malmaud
R. Levy
65
24
0
30 Apr 2020
Question Rewriting for Conversational Question Answering
Question Rewriting for Conversational Question Answering
Svitlana Vakulenko
Shayne Longpre
Zhucheng Tu
R. Anantha
96
180
0
30 Apr 2020
Conversations with Search Engines: SERP-based Conversational Response
  Generation
Conversations with Search Engines: SERP-based Conversational Response Generation
Pengjie Ren
Zhumin Chen
Zhaochun Ren
Evangelos Kanoulas
Christof Monz
Maarten de Rijke
52
33
0
29 Apr 2020
On the Reliability of Test Collections for Evaluating Systems of
  Different Types
On the Reliability of Test Collections for Evaluating Systems of Different Types
Emine Yilmaz
Nick Craswell
Bhaskar Mitra
Daniel Fernando Campos
56
20
0
28 Apr 2020
Conversational Question Answering over Passages by Leveraging Word
  Proximity Networks
Conversational Question Answering over Passages by Leveraging Word Proximity Networks
Magdalena Kaiser
Rishiraj Saha Roy
Gerhard Weikum
RALM
58
13
0
27 Apr 2020
ColBERT: Efficient and Effective Passage Search via Contextualized Late
  Interaction over BERT
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
Omar Khattab
Matei A. Zaharia
145
1,383
0
27 Apr 2020
MATINF: A Jointly Labeled Large-Scale Dataset for Classification,
  Question Answering and Summarization
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization
Canwen Xu
Jiaxin Pei
Hongtao Wu
Yiyu Liu
Chenliang Li
MLLMVLM
59
14
0
26 Apr 2020
Rapidly Bootstrapping a Question Answering Dataset for COVID-19
Rapidly Bootstrapping a Question Answering Dataset for COVID-19
Raphael Tang
Rodrigo Nogueira
Edwin Zhang
Nikhil Gupta
P. Cẩm
Kyunghyun Cho
Jimmy J. Lin
62
72
0
23 Apr 2020
Answer Generation through Unified Memories over Multiple Passages
Answer Generation through Unified Memories over Multiple Passages
M. Nakatsuji
Sohei Okui
RALM
42
3
0
22 Apr 2020
Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation
Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation
Kaustubh D. Dhole
Christopher D. Manning
67
53
0
18 Apr 2020
A Survey of Document Grounded Dialogue Systems (DGDS)
A Survey of Document Grounded Dialogue Systems (DGDS)
Longxuan Ma
Weinan Zhang
Mingda Li
Ting Liu
75
19
0
17 Apr 2020
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research
  Dataset: Preliminary Thoughts and Lessons Learned
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned
Edwin Zhang
Nikhil Gupta
Rodrigo Nogueira
Kyunghyun Cho
Jimmy J. Lin
55
58
0
10 Apr 2020
Towards Automatic Generation of Questions from Long Answers
Towards Automatic Generation of Questions from Long Answers
Shlok Kumar Mishra
Pranav Goel
Abhishek Sharma
Abhyuday N. Jagannatha
David Jacobs
Hal Daumé
52
8
0
10 Apr 2020
Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for
  Span-based Question Answering
Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering
Changmao Li
Jinho Choi
51
26
0
07 Apr 2020
Deep Learning Based Text Classification: A Comprehensive Review
Deep Learning Based Text Classification: A Comprehensive Review
Shervin Minaee
Nal Kalchbrenner
Min Zhang
Narjes Nikzad
M. Asgari-Chenaghlu
Jianfeng Gao
AILawVLMAI4TS
116
1,115
0
06 Apr 2020
Reinforced Multi-task Approach for Multi-hop Question Generation
Reinforced Multi-task Approach for Multi-hop Question Generation
D. Gupta
Hardik Chauhan
Akella Ravi Tej
Asif Ekbal
P. Bhattacharyya
RALMLRM
74
23
0
05 Apr 2020
Talk to Papers: Bringing Neural Question Answering to Academic Search
Talk to Papers: Bringing Neural Question Answering to Academic Search
Tiancheng Zhao
Kyusong Lee
54
14
0
04 Apr 2020
Benchmarking Machine Reading Comprehension: A Psychological Perspective
Benchmarking Machine Reading Comprehension: A Psychological Perspective
Saku Sugawara
Pontus Stenetorp
Akiko Aizawa
54
2
0
04 Apr 2020
Overview of the TREC 2019 deep learning track
Overview of the TREC 2019 deep learning track
Nick Craswell
Bhaskar Mitra
Emine Yilmaz
Daniel Fernando Campos
E. Voorhees
248
496
0
17 Mar 2020
Document Ranking with a Pretrained Sequence-to-Sequence Model
Document Ranking with a Pretrained Sequence-to-Sequence Model
Rodrigo Nogueira
Zhiying Jiang
Jimmy J. Lin
102
587
0
14 Mar 2020
TyDi QA: A Benchmark for Information-Seeking Question Answering in
  Typologically Diverse Languages
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
J. Clark
Eunsol Choi
Michael Collins
Dan Garrette
Tom Kwiatkowski
Vitaly Nikolaev
J. Palomaki
231
613
0
10 Mar 2020
A Framework for Evaluation of Machine Reading Comprehension Gold
  Standards
A Framework for Evaluation of Machine Reading Comprehension Gold Standards
Viktor Schlegel
Marco Valentino
André Freitas
Goran Nenadic
Riza Batista-Navarro
58
30
0
10 Mar 2020
A Study on Efficiency, Accuracy and Document Structure for Answer
  Sentence Selection
A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection
Daniele Bonadiman
Alessandro Moschitti
RALM
68
10
0
04 Mar 2020
GenNet : Reading Comprehension with Multiple Choice Questions using
  Generation and Selection model
GenNet : Reading Comprehension with Multiple Choice Questions using Generation and Selection model
Vaishali Ingale
Pushpender Singh
53
3
0
03 Mar 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
102
306
0
10 Feb 2020
Description Based Text Classification with Reinforcement Learning
Description Based Text Classification with Reinforcement Learning
Duo Chai
Wei Wu
Qinghong Han
Leilei Gan
Jiwei Li
VLM
181
68
0
08 Feb 2020
A Prototype of Serverless Lucene
A Prototype of Serverless Lucene
Jimmy J. Lin
13
1
0
04 Feb 2020
Beat the AI: Investigating Adversarial Human Annotation for Reading
  Comprehension
Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension
Max Bartolo
A. Roberts
Johannes Welbl
Sebastian Riedel
Pontus Stenetorp
AAML
137
175
0
02 Feb 2020
Conversations with Documents. An Exploration of Document-Centered
  Assistance
Conversations with Documents. An Exploration of Document-Centered Assistance
Maartje ter Hoeve
Robert Sim
E. Nouri
Adam Fourney
Maarten de Rijke
Ryen W. White
59
38
0
27 Jan 2020
DUMA: Reading Comprehension with Transposition Thinking
DUMA: Reading Comprehension with Transposition Thinking
Pengfei Zhu
Hai Zhao
Xiaoguang Li
AI4CE
82
35
0
26 Jan 2020
A Study of the Tasks and Models in Machine Reading Comprehension
A Study of the Tasks and Models in Machine Reading Comprehension
Chao Wang
LRM
69
1
0
23 Jan 2020
ManyModalQA: Modality Disambiguation and QA over Diverse Inputs
ManyModalQA: Modality Disambiguation and QA over Diverse Inputs
Darryl Hannan
Akshay Jain
Joey Tianyi Zhou
AAML
80
59
0
22 Jan 2020
Enhancing lexical-based approach with external knowledge for Vietnamese
  multiple-choice machine reading comprehension
Enhancing lexical-based approach with external knowledge for Vietnamese multiple-choice machine reading comprehension
Kiet Van Nguyen
Khiem Vinh Tran
Son T. Luu
A. Nguyen
Ngan Luu-Thuy Nguyen
77
5
0
16 Jan 2020
A Survey on Machine Reading Comprehension Systems
A Survey on Machine Reading Comprehension Systems
Razieh Baradaran
Razieh Ghiasi
Hossein Amirkhani
FaML
129
86
0
06 Jan 2020
Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using
  Zero-shot Learning
Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning
Sean MacAvaney
Luca Soldaini
Nazli Goharian
58
30
0
30 Dec 2019
Harnessing Evolution of Multi-Turn Conversations for Effective Answer
  Retrieval
Harnessing Evolution of Multi-Turn Conversations for Effective Answer Retrieval
Mohammad Aliannejadi
Manajit Chakraborty
E. A. Ríssola
Fabio Crestani
89
51
0
22 Dec 2019
SberQuAD -- Russian Reading Comprehension Dataset: Description and
  Analysis
SberQuAD -- Russian Reading Comprehension Dataset: Description and Analysis
Pavel Efimov
Andrey Chertok
Leonid Boytsov
Pavel Braslavski
147
61
0
20 Dec 2019
Duet at TREC 2019 Deep Learning Track
Duet at TREC 2019 Deep Learning Track
Bhaskar Mitra
Nick Craswell
50
7
0
10 Dec 2019
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