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Do NLP Models Know Numbers? Probing Numeracy in Embeddings
v1v2 (latest)

Do NLP Models Know Numbers? Probing Numeracy in Embeddings

17 September 2019
Eric Wallace
Yizhong Wang
Sujian Li
Sameer Singh
Matt Gardner
ArXiv (abs)PDFHTML

Papers citing "Do NLP Models Know Numbers? Probing Numeracy in Embeddings"

47 / 147 papers shown
Title
How to Query Language Models?
How to Query Language Models?
Leonard Adolphs
Shehzaad Dhuliawala
Thomas Hofmann
KELM
86
15
0
04 Aug 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods
  in Natural Language Processing
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu
Weizhe Yuan
Jinlan Fu
Zhengbao Jiang
Hiroaki Hayashi
Graham Neubig
VLMSyDa
437
4,053
0
28 Jul 2021
MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving
MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving
Zhenwen Liang
Jipeng Zhang
Lei Wang
Wei Qin
Yunshi Lan
Jie Shao
Xiangliang Zhang
AIMat
85
66
0
28 Jul 2021
Turning Tables: Generating Examples from Semi-structured Tables for
  Endowing Language Models with Reasoning Skills
Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills
Ori Yoran
Alon Talmor
Jonathan Berant
ReLMLRM
238
54
0
15 Jul 2021
A Closer Look at How Fine-tuning Changes BERT
A Closer Look at How Fine-tuning Changes BERT
Yichu Zhou
Vivek Srikumar
84
68
0
27 Jun 2021
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge
  Bases
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases
Boxi Cao
Hongyu Lin
Xianpei Han
Le Sun
Lingyong Yan
M. Liao
Tong Xue
Jin Xu
79
136
0
17 Jun 2021
Pre-Trained Models: Past, Present and Future
Pre-Trained Models: Past, Present and Future
Xu Han
Zhengyan Zhang
Ning Ding
Yuxian Gu
Xiao Liu
...
Jie Tang
Ji-Rong Wen
Jinhui Yuan
Wayne Xin Zhao
Jun Zhu
AIFinMQAI4MH
179
865
0
14 Jun 2021
Better than BERT but Worse than Baseline
Better than BERT but Worse than Baseline
Boxiang Liu
Jiaji Huang
Xingyu Cai
Kenneth Church
31
3
0
12 May 2021
TABBIE: Pretrained Representations of Tabular Data
TABBIE: Pretrained Representations of Tabular Data
H. Iida
Dung Ngoc Thai
Varun Manjunatha
Mohit Iyyer
LMTDSSLVLM
95
178
0
06 May 2021
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer
  Programming Constraints
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
Anselm Paulus
Michal Rolínek
Vít Musil
Brandon Amos
Georg Martius
92
62
0
05 May 2021
Random Embeddings and Linear Regression can Predict Protein Function
Random Embeddings and Linear Regression can Predict Protein Function
Tianyu Lu
Alex X. Lu
Alan M. Moses
SSL
53
5
0
25 Apr 2021
Subsentence Extraction from Text Using Coverage-Based Deep Learning
  Language Models
Subsentence Extraction from Text Using Coverage-Based Deep Learning Language Models
Jongyoon Lim
Inkyu Sa
H. Ahn
N. Gasteiger
S. Lee
B. MacDonald
36
9
0
20 Apr 2021
NT5?! Training T5 to Perform Numerical Reasoning
NT5?! Training T5 to Perform Numerical Reasoning
Peng Yang
Ying Chen
Yuechan Chen
Daniel Cer
AIMatLRM
82
15
0
15 Apr 2021
DirectProbe: Studying Representations without Classifiers
DirectProbe: Studying Representations without Classifiers
Yichu Zhou
Vivek Srikumar
97
29
0
13 Apr 2021
Transformers: "The End of History" for NLP?
Transformers: "The End of History" for NLP?
Anton Chernyavskiy
Dmitry Ilvovsky
Preslav Nakov
117
30
0
09 Apr 2021
Detecting of a Patient's Condition From Clinical Narratives Using
  Natural Language Representation
Detecting of a Patient's Condition From Clinical Narratives Using Natural Language Representation
Thanh-Dung Le
R. Noumeir
J. Rambaud
Guillaume Sans
P. Jouvet
72
18
0
08 Apr 2021
Annotating Columns with Pre-trained Language Models
Annotating Columns with Pre-trained Language Models
Yoshihiko Suhara
Jinfeng Li
Yuliang Li
Dan Zhang
cCaugatay Demiralp
Chen Chen
W. Tan
LMTD
60
90
0
05 Apr 2021
Representing Numbers in NLP: a Survey and a Vision
Representing Numbers in NLP: a Survey and a Vision
Avijit Thawani
Jay Pujara
Pedro A. Szekely
Filip Ilievski
106
119
0
24 Mar 2021
Investigating the Limitations of Transformers with Simple Arithmetic
  Tasks
Investigating the Limitations of Transformers with Simple Arithmetic Tasks
Rodrigo Nogueira
Zhiying Jiang
Jimmy J. Li
LRM
133
130
0
25 Feb 2021
Clinical Outcome Prediction from Admission Notes using Self-Supervised
  Knowledge Integration
Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration
Betty van Aken
Jens-Michalis Papaioannou
M. Mayrdorfer
Klemens Budde
Felix Alexander Gers
Alexander Loser
54
73
0
08 Feb 2021
Data-to-text Generation with Macro Planning
Data-to-text Generation with Macro Planning
Ratish Puduppully
Mirella Lapata
110
74
0
04 Feb 2021
Zero-shot Generalization in Dialog State Tracking through Generative
  Question Answering
Zero-shot Generalization in Dialog State Tracking through Generative Question Answering
Shuyang Li
Jin Cao
Mukund Sridhar
Henghui Zhu
Shang-Wen Li
Wael Hamza
Julian McAuley
BDL
74
46
0
20 Jan 2021
Seeing past words: Testing the cross-modal capabilities of pretrained
  V&L models on counting tasks
Seeing past words: Testing the cross-modal capabilities of pretrained V&L models on counting tasks
Letitia Parcalabescu
Albert Gatt
Anette Frank
Iacer Calixto
LRM
101
49
0
22 Dec 2020
Trex: Learning Execution Semantics from Micro-Traces for Binary
  Similarity
Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity
Kexin Pei
Zhou Xuan
Junfeng Yang
Suman Jana
Baishakhi Ray
121
91
0
16 Dec 2020
Infusing Finetuning with Semantic Dependencies
Infusing Finetuning with Semantic Dependencies
Zhaofeng Wu
Hao Peng
Noah A. Smith
91
37
0
10 Dec 2020
How Can We Know When Language Models Know? On the Calibration of
  Language Models for Question Answering
How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering
Zhengbao Jiang
Jun Araki
Haibo Ding
Graham Neubig
UQCV
73
439
0
02 Dec 2020
Character-level Representations Improve DRS-based Semantic Parsing Even
  in the Age of BERT
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT
Rik van Noord
Antonio Toral
Johan Bos
76
4
0
09 Nov 2020
An Empirical Investigation of Contextualized Number Prediction
An Empirical Investigation of Contextualized Number Prediction
Daniel M. Spokoyny
Taylor Berg-Kirkpatrick
AI4TS
85
38
0
20 Oct 2020
Bootleg: Chasing the Tail with Self-Supervised Named Entity
  Disambiguation
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation
Laurel J. Orr
Megan Leszczynski
Simran Arora
Sen Wu
Neel Guha
Xiao Ling
Christopher Ré
220
48
0
20 Oct 2020
Probing for Multilingual Numerical Understanding in Transformer-Based
  Language Models
Probing for Multilingual Numerical Understanding in Transformer-Based Language Models
Devin J. Johnson
Denise Mak
Drew Barker
Lexi Loessberg-Zahl
LRM
52
18
0
13 Oct 2020
Do Language Embeddings Capture Scales?
Do Language Embeddings Capture Scales?
Xikun Zhang
Deepak Ramachandran
Ian Tenney
Yanai Elazar
Dan Roth
MILMReLMLRM
104
94
0
11 Oct 2020
Intrinsic Probing through Dimension Selection
Intrinsic Probing through Dimension Selection
Lucas Torroba Hennigen
Adina Williams
Ryan Cotterell
78
58
0
06 Oct 2020
Understanding tables with intermediate pre-training
Understanding tables with intermediate pre-training
Julian Martin Eisenschlos
Syrine Krichene
Thomas Müller
LMTD
172
121
0
01 Oct 2020
Towards Question Format Independent Numerical Reasoning: A Set of
  Prerequisite Tasks
Towards Question Format Independent Numerical Reasoning: A Set of Prerequisite Tasks
Swaroop Mishra
Arindam Mitra
Neeraj Varshney
Bhavdeep Singh Sachdeva
Chitta Baral
AIMat
59
13
0
18 May 2020
INFOTABS: Inference on Tables as Semi-structured Data
INFOTABS: Inference on Tables as Semi-structured Data
Vivek Gupta
Maitrey Mehta
Pegah Nokhiz
Vivek Srikumar
LMTD
75
112
0
13 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
Natural Language Premise Selection: Finding Supporting Statements for
  Mathematical Text
Natural Language Premise Selection: Finding Supporting Statements for Mathematical Text
Deborah Ferreira
André Freitas
AIMat
65
32
0
30 Apr 2020
What Happens To BERT Embeddings During Fine-tuning?
What Happens To BERT Embeddings During Fine-tuning?
Amil Merchant
Elahe Rahimtoroghi
Ellie Pavlick
Ian Tenney
117
189
0
29 Apr 2020
Attention is Not Only a Weight: Analyzing Transformers with Vector Norms
Attention is Not Only a Weight: Analyzing Transformers with Vector Norms
Goro Kobayashi
Tatsuki Kuribayashi
Sho Yokoi
Kentaro Inui
71
15
0
21 Apr 2020
Joint translation and unit conversion for end-to-end localization
Joint translation and unit conversion for end-to-end localization
Georgiana Dinu
Prashant Mathur
Marcello Federico
Stanislas Lauly
Yaser Al-Onaizan
71
4
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
TAPAS: Weakly Supervised Table Parsing via Pre-training
TAPAS: Weakly Supervised Table Parsing via Pre-training
Jonathan Herzig
Pawel Krzysztof Nowak
Thomas Müller
Francesco Piccinno
Julian Martin Eisenschlos
LMTDRALM
187
658
0
05 Apr 2020
R3: A Reading Comprehension Benchmark Requiring Reasoning Processes
R3: A Reading Comprehension Benchmark Requiring Reasoning Processes
Ran Wang
Kun Tao
Dingjie Song
Zhilong Zhang
Xiao Ma
Xiáo Su
Xinyu Dai
64
3
0
02 Apr 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
173
1,511
0
27 Feb 2020
oLMpics -- On what Language Model Pre-training Captures
oLMpics -- On what Language Model Pre-training Captures
Alon Talmor
Yanai Elazar
Yoav Goldberg
Jonathan Berant
LRM
109
304
0
31 Dec 2019
Learning Numeral Embeddings
Learning Numeral Embeddings
Chengyue Jiang
Zhonglin Nian
Kaihao Guo
Shanbo Chu
Yinggong Zhao
Libin Shen
Kewei Tu
94
22
0
28 Dec 2019
WaLDORf: Wasteless Language-model Distillation On Reading-comprehension
WaLDORf: Wasteless Language-model Distillation On Reading-comprehension
J. Tian
A. Kreuzer
Pai-Hung Chen
Hans-Martin Will
VLM
60
3
0
13 Dec 2019
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