ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1901.08634
  4. Cited By
A BERT Baseline for the Natural Questions

A BERT Baseline for the Natural Questions

24 January 2019
Chris Alberti
Kenton Lee
Michael Collins
    ELM
    AI4MH
ArXivPDFHTML

Papers citing "A BERT Baseline for the Natural Questions"

24 / 74 papers shown
Title
BERT-kNN: Adding a kNN Search Component to Pretrained Language Models
  for Better QA
BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA
Nora Kassner
Hinrich Schütze
RALM
19
68
0
02 May 2020
RikiNet: Reading Wikipedia Pages for Natural Question Answering
RikiNet: Reading Wikipedia Pages for Natural Question Answering
Dayiheng Liu
Yeyun Gong
Jie Fu
Yu Yan
Jiusheng Chen
Daxin Jiang
Jiancheng Lv
Nan Duan
RALM
25
55
0
30 Apr 2020
ETC: Encoding Long and Structured Inputs in Transformers
ETC: Encoding Long and Structured Inputs in Transformers
Joshua Ainslie
Santiago Ontanon
Chris Alberti
Vaclav Cvicek
Zachary Kenneth Fisher
Philip Pham
Anirudh Ravula
Sumit Sanghai
Qifan Wang
Li Yang
12
54
0
17 Apr 2020
What do Models Learn from Question Answering Datasets?
What do Models Learn from Question Answering Datasets?
Priyanka Sen
Amir Saffari
RALM
ELM
10
74
0
07 Apr 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
35
589
0
10 Mar 2020
Training Question Answering Models From Synthetic Data
Training Question Answering Models From Synthetic Data
Raul Puri
Ryan Spring
M. Patwary
M. Shoeybi
Bryan Catanzaro
ELM
24
159
0
22 Feb 2020
An Exploration of Data Augmentation and Sampling Techniques for
  Domain-Agnostic Question Answering
An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering
Shayne Longpre
Yi Lu
Zhucheng Tu
Christopher DuBois
17
70
0
04 Dec 2019
Unsupervised Natural Question Answering with a Small Model
Unsupervised Natural Question Answering with a Small Model
Martin Andrews
Sam Witteveen
KELM
ELM
11
4
0
19 Nov 2019
Knowledge Guided Text Retrieval and Reading for Open Domain Question
  Answering
Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering
Sewon Min
Danqi Chen
Luke Zettlemoyer
Hannaneh Hajishirzi
RALM
17
104
0
10 Nov 2019
Negated and Misprimed Probes for Pretrained Language Models: Birds Can
  Talk, But Cannot Fly
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly
Nora Kassner
Hinrich Schütze
12
316
0
08 Nov 2019
The TechQA Dataset
The TechQA Dataset
Vittorio Castelli
Rishav Chakravarti
Saswati Dana
Anthony Ferritto
Radu Florian
...
Andrzej Sakrajda
Avirup Sil
Rosario A. Uceda-Sosa
T. Ward
Rong Zhang
16
43
0
08 Nov 2019
BERT for Evidence Retrieval and Claim Verification
BERT for Evidence Retrieval and Claim Verification
Shrishti Saha Shetu
Christof Monz
E. Mabande
RALM
15
119
0
07 Oct 2019
Measuring Domain Portability and ErrorPropagation in Biomedical QA
Measuring Domain Portability and ErrorPropagation in Biomedical QA
Stefan Hosein
D. Andor
Ryan T. McDonald
6
9
0
12 Sep 2019
Frustratingly Easy Natural Question Answering
Frustratingly Easy Natural Question Answering
Lin Pan
Rishav Chakravarti
Anthony Ferritto
Michael R. Glass
A. Gliozzo
Salim Roukos
Radu Florian
Avirup Sil
11
14
0
11 Sep 2019
A Discrete Hard EM Approach for Weakly Supervised Question Answering
A Discrete Hard EM Approach for Weakly Supervised Question Answering
Sewon Min
Danqi Chen
Hannaneh Hajishirzi
Luke Zettlemoyer
12
162
0
11 Sep 2019
Span Selection Pre-training for Question Answering
Span Selection Pre-training for Question Answering
Michael R. Glass
A. Gliozzo
Rishav Chakravarti
Anthony Ferritto
Lin Pan
G P Shrivatsa Bhargav
Dinesh Garg
Avirup Sil
RALM
30
70
0
09 Sep 2019
Better Rewards Yield Better Summaries: Learning to Summarise Without
  References
Better Rewards Yield Better Summaries: Learning to Summarise Without References
F. Böhm
Yang Gao
Christian M. Meyer
Ori Shapira
Ido Dagan
Iryna Gurevych
17
107
0
03 Sep 2019
Multi-Granularity Representations of Dialog
Multi-Granularity Representations of Dialog
Shikib Mehri
M. Eskénazi
BDL
11
5
0
26 Aug 2019
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain
  Question Answering
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering
Zhiguo Wang
Patrick K. L. Ng
Xiaofei Ma
Ramesh Nallapati
Bing Xiang
OOD
6
243
0
22 Aug 2019
CFO: A Framework for Building Production NLP Systems
CFO: A Framework for Building Production NLP Systems
Rishav Chakravarti
Cezar Pendus
Andrzej Sakrajda
Anthony Ferritto
Lin Pan
...
Vittorio Castelli
J. William Murdock
Radu Florian
Salim Roukos
Avirup Sil
29
10
0
16 Aug 2019
On Identifiability in Transformers
On Identifiability in Transformers
Gino Brunner
Yang Liu
Damian Pascual
Oliver Richter
Massimiliano Ciaramita
Roger Wattenhofer
ViT
19
186
0
12 Aug 2019
Synthetic QA Corpora Generation with Roundtrip Consistency
Synthetic QA Corpora Generation with Roundtrip Consistency
Chris Alberti
D. Andor
Emily Pitler
Jacob Devlin
Michael Collins
SyDa
25
244
0
12 Jun 2019
A Novel Task-Oriented Text Corpus in Silent Speech Recognition and its
  Natural Language Generation Construction Method
A Novel Task-Oriented Text Corpus in Silent Speech Recognition and its Natural Language Generation Construction Method
Dong Cao
Dongdong Zhang
Haibo Chen
15
3
0
19 Apr 2019
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
196
1,367
0
06 Jun 2016
Previous
12