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Language Models as Knowledge Bases?
v1v2 (latest)

Language Models as Knowledge Bases?

3 September 2019
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
    KELMAI4MH
ArXiv (abs)PDFHTMLGithub (1382★)

Papers citing "Language Models as Knowledge Bases?"

50 / 1,722 papers shown
Title
Open-Domain Conversational Agents: Current Progress, Open Problems, and
  Future Directions
Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions
Stephen Roller
Y-Lan Boureau
Jason Weston
Antoine Bordes
Emily Dinan
...
Kurt Shuster
Eric Michael Smith
Arthur Szlam
Jack Urbanek
Mary Williamson
LLMAGAI4CE
132
52
0
22 Jun 2020
Are Pretrained Language Models Symbolic Reasoners Over Knowledge?
Are Pretrained Language Models Symbolic Reasoners Over Knowledge?
Nora Kassner
Benno Kroje
Hinrich Schütze
ReLMLRM
52
5
0
18 Jun 2020
Misinformation Has High Perplexity
Misinformation Has High Perplexity
Nayeon Lee
Yejin Bang
Andrea Madotto
Pascale Fung
87
29
0
08 Jun 2020
Language Models as Fact Checkers?
Language Models as Fact Checkers?
Nayeon Lee
Belinda Z. Li
Sinong Wang
Wen-tau Yih
Hao Ma
Madian Khabsa
KELMHILMLRM
95
75
0
07 Jun 2020
GMAT: Global Memory Augmentation for Transformers
GMAT: Global Memory Augmentation for Transformers
Ankit Gupta
Jonathan Berant
RALM
81
50
0
05 Jun 2020
Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals
Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals
Yanai Elazar
Shauli Ravfogel
Alon Jacovi
Yoav Goldberg
102
25
0
01 Jun 2020
Benchmarking neural embeddings for link prediction in knowledge graphs
  under semantic and structural changes
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes
Asan Agibetov
Matthias Samwald
54
8
0
15 May 2020
Behind the Scene: Revealing the Secrets of Pre-trained
  Vision-and-Language Models
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models
Jize Cao
Zhe Gan
Yu Cheng
Licheng Yu
Yen-Chun Chen
Jingjing Liu
VLM
133
130
0
15 May 2020
That is a Known Lie: Detecting Previously Fact-Checked Claims
That is a Known Lie: Detecting Previously Fact-Checked Claims
Shaden Shaar
Giovanni Da San Martino
Nikolay Babulkov
Preslav Nakov
HILM
123
157
0
12 May 2020
How Context Affects Language Models' Factual Predictions
How Context Affects Language Models' Factual Predictions
Fabio Petroni
Patrick Lewis
Aleksandra Piktus
Tim Rocktaschel
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
101
239
0
10 May 2020
Autoencoding Pixies: Amortised Variational Inference with Graph
  Convolutions for Functional Distributional Semantics
Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics
Guy Edward Toh Emerson
BDL
36
8
0
06 May 2020
The Sensitivity of Language Models and Humans to Winograd Schema
  Perturbations
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations
Mostafa Abdou
Vinit Ravishankar
Maria Barrett
Yonatan Belinkov
Desmond Elliott
Anders Søgaard
ReLMLRM
117
35
0
04 May 2020
A Two-Stage Masked LM Method for Term Set Expansion
A Two-Stage Masked LM Method for Term Set Expansion
Guy Kushilevitz
Shaul Markovitch
Yoav Goldberg
65
11
0
03 May 2020
ForecastQA: A Question Answering Challenge for Event Forecasting with
  Temporal Text Data
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data
Woojeong Jin
Rahul Khanna
Suji Kim
Dong-Ho Lee
Fred Morstatter
Aram Galstyan
Xiang Ren
AI4TS
89
39
0
02 May 2020
RICA: Evaluating Robust Inference Capabilities Based on Commonsense
  Axioms
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms
Pei Zhou
Rahul Khanna
Seyeon Lee
Bill Yuchen Lin
Daniel E. Ho
Jay Pujara
Xiang Ren
ReLM
132
37
0
02 May 2020
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
119
69
0
02 May 2020
Birds have four legs?! NumerSense: Probing Numerical Commonsense
  Knowledge of Pre-trained Language Models
Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models
Bill Yuchen Lin
Seyeon Lee
Rahul Khanna
Xiang Ren
AIMat
99
158
0
02 May 2020
Probing Contextual Language Models for Common Ground with Visual
  Representations
Probing Contextual Language Models for Common Ground with Visual Representations
Gabriel Ilharco
Rowan Zellers
Ali Farhadi
Hannaneh Hajishirzi
118
14
0
01 May 2020
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset
Xiang Yue
Bernal Jimenez Gutierrez
Huan Sun
129
49
0
01 May 2020
Self-supervised Knowledge Triplet Learning for Zero-shot Question
  Answering
Self-supervised Knowledge Triplet Learning for Zero-shot Question Answering
Pratyay Banerjee
Chitta Baral
92
65
0
01 May 2020
TransOMCS: From Linguistic Graphs to Commonsense Knowledge
TransOMCS: From Linguistic Graphs to Commonsense Knowledge
Hongming Zhang
Daniel Khashabi
Yangqiu Song
Dan Roth
71
94
0
01 May 2020
Interpretable Entity Representations through Large-Scale Typing
Interpretable Entity Representations through Large-Scale Typing
Yasumasa Onoe
Greg Durrett
72
20
0
30 Apr 2020
Enriched Pre-trained Transformers for Joint Slot Filling and Intent
  Detection
Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection
Momchil Hardalov
Ivan Koychev
Preslav Nakov
VLM
47
17
0
30 Apr 2020
Knowledge Injection into Dialogue Generation via Language Models
Knowledge Injection into Dialogue Generation via Language Models
Yi-Lin Tuan
Wei Wei
William Yang Wang
62
4
0
30 Apr 2020
Asking without Telling: Exploring Latent Ontologies in Contextual
  Representations
Asking without Telling: Exploring Latent Ontologies in Contextual Representations
Julian Michael
Jan A. Botha
Ian Tenney
77
43
0
29 Apr 2020
Exploiting Structured Knowledge in Text via Graph-Guided Representation
  Learning
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning
Tao Shen
Yi Mao
Pengcheng He
Guodong Long
Adam Trischler
Weizhu Chen
89
63
0
29 Apr 2020
Augmenting Transformers with KNN-Based Composite Memory for Dialogue
Augmenting Transformers with KNN-Based Composite Memory for Dialogue
Angela Fan
Claire Gardent
Chloé Braud
Antoine Bordes
RALM
171
76
0
27 Apr 2020
Contextualized Representations Using Textual Encyclopedic Knowledge
Contextualized Representations Using Textual Encyclopedic Knowledge
Mandar Joshi
Kenton Lee
Yi Luan
Kristina Toutanova
136
31
0
24 Apr 2020
Neural Abstractive Summarization with Structural Attention
Neural Abstractive Summarization with Structural Attention
Hao Nie
Chi-Man Wong
Qiang Chen
22
2
0
21 Apr 2020
Null It Out: Guarding Protected Attributes by Iterative Nullspace
  Projection
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection
Shauli Ravfogel
Yanai Elazar
Hila Gonen
Michael Twiton
Yoav Goldberg
161
388
0
16 Apr 2020
Entities as Experts: Sparse Memory Access with Entity Supervision
Entities as Experts: Sparse Memory Access with Entity Supervision
Thibault Févry
Livio Baldini Soares
Nicholas FitzGerald
Eunsol Choi
Tom Kwiatkowski
RALM
145
155
0
15 Apr 2020
Explaining Question Answering Models through Text Generation
Explaining Question Answering Models through Text Generation
Veronica Latcinnik
Jonathan Berant
LRM
108
51
0
12 Apr 2020
Unsupervised Commonsense Question Answering with Self-Talk
Unsupervised Commonsense Question Answering with Self-Talk
Vered Shwartz
Peter West
Ronan Le Bras
Chandra Bhagavatula
Yejin Choi
ReLMSSLAI4MHLRM
86
263
0
11 Apr 2020
Probing Neural Language Models for Human Tacit Assumptions
Probing Neural Language Models for Human Tacit Assumptions
Nathaniel Weir
Adam Poliak
Benjamin Van Durme
62
6
0
10 Apr 2020
Injecting Numerical Reasoning Skills into Language Models
Injecting Numerical Reasoning Skills into Language Models
Mor Geva
Ankit Gupta
Jonathan Berant
AIMatLRM
93
227
0
09 Apr 2020
"You are grounded!": Latent Name Artifacts in Pre-trained Language
  Models
"You are grounded!": Latent Name Artifacts in Pre-trained Language Models
Vered Shwartz
Rachel Rudinger
Oyvind Tafjord
62
51
0
06 Apr 2020
Answering Complex Queries in Knowledge Graphs with Bidirectional
  Sequence Encoders
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders
Bhushan Kotnis
Carolin (Haas) Lawrence
Mathias Niepert
RALM
97
41
0
06 Apr 2020
Information-Theoretic Probing with Minimum Description Length
Information-Theoretic Probing with Minimum Description Length
Elena Voita
Ivan Titov
124
276
0
27 Mar 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MAVLM
450
1,500
0
18 Mar 2020
Natural Language QA Approaches using Reasoning with External Knowledge
Natural Language QA Approaches using Reasoning with External Knowledge
Chitta Baral
Pratyay Banerjee
Kuntal Kumar Pal
Arindam Mitra
LRM
51
5
0
06 Mar 2020
On the Role of Conceptualization in Commonsense Knowledge Graph
  Construction
On the Role of Conceptualization in Commonsense Knowledge Graph Construction
Mutian He
Yangqiu Song
Kun Xu
Dong Yu
58
13
0
06 Mar 2020
A Primer in BERTology: What we know about how BERT works
A Primer in BERTology: What we know about how BERT works
Anna Rogers
Olga Kovaleva
Anna Rumshisky
OffRL
161
1,511
0
27 Feb 2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Zhangyin Feng
Daya Guo
Duyu Tang
Nan Duan
Xiaocheng Feng
...
Linjun Shou
Bing Qin
Ting Liu
Daxin Jiang
Ming Zhou
240
2,727
0
19 Feb 2020
SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word
  Models
SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models
Bin Wang
C.-C. Jay Kuo
57
156
0
16 Feb 2020
CBAG: Conditional Biomedical Abstract Generation
CBAG: Conditional Biomedical Abstract Generation
Justin Sybrandt
Ilya Safro
MedImAI4CE
53
8
0
13 Feb 2020
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
Adam Roberts
Colin Raffel
Noam M. Shazeer
KELM
151
898
0
10 Feb 2020
REALM: Retrieval-Augmented Language Model Pre-Training
REALM: Retrieval-Augmented Language Model Pre-Training
Kelvin Guu
Kenton Lee
Zora Tung
Panupong Pasupat
Ming-Wei Chang
RALM
184
2,133
0
10 Feb 2020
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
Ruize Wang
Duyu Tang
Nan Duan
Zhongyu Wei
Xuanjing Huang
Jianshu Ji
Guihong Cao
Daxin Jiang
Ming Zhou
KELM
175
557
0
05 Feb 2020
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Min Zhang
Pekka Marttinen
Philip S. Yu
399
2,018
0
02 Feb 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
376
1,629
0
21 Jan 2020
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