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Probing Pretrained Language Models for Lexical Semantics

Probing Pretrained Language Models for Lexical Semantics

12 October 2020
Ivan Vulić
E. Ponti
Robert Litschko
Goran Glavas
Anna Korhonen
    KELM
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Papers citing "Probing Pretrained Language Models for Lexical Semantics"

50 / 129 papers shown
Title
Representation Of Lexical Stylistic Features In Language Models'
  Embedding Space
Representation Of Lexical Stylistic Features In Language Models' Embedding Space
Qing Lyu
Marianna Apidianaki
Chris Callison-Burch
36
6
0
29 May 2023
Syntax and Semantics Meet in the "Middle": Probing the Syntax-Semantics
  Interface of LMs Through Agentivity
Syntax and Semantics Meet in the "Middle": Probing the Syntax-Semantics Interface of LMs Through Agentivity
Lindia Tjuatja
Emmy Liu
Lori S. Levin
Graham Neubig
35
2
0
29 May 2023
Vec2Gloss: definition modeling leveraging contextualized vectors with
  Wordnet gloss
Vec2Gloss: definition modeling leveraging contextualized vectors with Wordnet gloss
Yu-Hsiang Tseng
Mao-Chang Ku
Wei-Ling Chen
Yu-Lin Chang
S. Hsieh
11
2
0
29 May 2023
Latent Positional Information is in the Self-Attention Variance of
  Transformer Language Models Without Positional Embeddings
Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings
Ta-Chung Chi
Ting-Han Fan
Li-Wei Chen
Alexander I. Rudnicky
Peter J. Ramadge
VLM
MILM
52
12
0
23 May 2023
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned
  Language Models
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models
Na Li
Hanane Kteich
Zied Bouraoui
Steven Schockaert
30
9
0
16 May 2023
StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structure
StrAE: Autoencoding for Pre-Trained Embeddings using Explicit Structure
Mattia Opper
Victor Prokhorov
N. Siddharth
BDL
24
2
0
09 May 2023
Exploring Linguistic Properties of Monolingual BERTs with Typological
  Classification among Languages
Exploring Linguistic Properties of Monolingual BERTs with Typological Classification among Languages
Elena Sofia Ruzzetti
Federico Ranaldi
F. Logozzo
Michele Mastromattei
Leonardo Ranaldi
Fabio Massimo Zanzotto
19
8
0
03 May 2023
Revealing Weaknesses of Vietnamese Language Models Through Unanswerable
  Questions in Machine Reading Comprehension
Revealing Weaknesses of Vietnamese Language Models Through Unanswerable Questions in Machine Reading Comprehension
Son Quoc Tran
Phong Nguyen-Thuan Do
Kiet Van Nguyen
Ngan Luu-Thuy Nguyen
39
0
0
16 Mar 2023
Do Transformers Parse while Predicting the Masked Word?
Do Transformers Parse while Predicting the Masked Word?
Haoyu Zhao
A. Panigrahi
Rong Ge
Sanjeev Arora
76
31
0
14 Mar 2023
Competence-Based Analysis of Language Models
Competence-Based Analysis of Language Models
Adam Davies
Jize Jiang
Chengxiang Zhai
ELM
29
4
0
01 Mar 2023
Does Deep Learning Learn to Abstract? A Systematic Probing Framework
Does Deep Learning Learn to Abstract? A Systematic Probing Framework
Shengnan An
Zeqi Lin
B. Chen
Qiang Fu
Nanning Zheng
Jian-Guang Lou
36
4
0
23 Feb 2023
A Psycholinguistic Analysis of BERT's Representations of Compounds
A Psycholinguistic Analysis of BERT's Representations of Compounds
Lars Buijtelaar
Sandro Pezzelle
20
8
0
14 Feb 2023
Attending to Graph Transformers
Attending to Graph Transformers
Luis Muller
Mikhail Galkin
Christopher Morris
Ladislav Rampášek
49
86
0
08 Feb 2023
COMBO: A Complete Benchmark for Open KG Canonicalization
COMBO: A Complete Benchmark for Open KG Canonicalization
Chengyue Jiang
Yong-jia Jiang
Weiqi Wu
Yuting Zheng
Pengjun Xie
Kewei Tu
34
2
0
08 Feb 2023
Protein Representation Learning via Knowledge Enhanced Primary Structure
  Modeling
Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling
Hong-Yu Zhou
Yunxiang Fu
Zhicheng Zhang
Cheng Bian
Yizhou Yu
22
8
0
30 Jan 2023
AutoPEFT: Automatic Configuration Search for Parameter-Efficient
  Fine-Tuning
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning
Han Zhou
Xingchen Wan
Ivan Vulić
Anna Korhonen
21
45
0
28 Jan 2023
Topological Data Analysis for Speech Processing
Topological Data Analysis for Speech Processing
Eduard Tulchinskii
Kristian Kuznetsov
Laida Kushnareva
D. Cherniavskii
S. Barannikov
Irina Piontkovskaya
Sergey I. Nikolenko
Evgeny Burnaev
35
5
0
30 Nov 2022
A Survey of Knowledge Enhanced Pre-trained Language Models
A Survey of Knowledge Enhanced Pre-trained Language Models
Linmei Hu
Zeyi Liu
Ziwang Zhao
Lei Hou
Liqiang Nie
Juanzi Li
KELM
VLM
24
121
0
11 Nov 2022
SocioProbe: What, When, and Where Language Models Learn about
  Sociodemographics
SocioProbe: What, When, and Where Language Models Learn about Sociodemographics
Anne Lauscher
Federico Bianchi
Samuel R. Bowman
Dirk Hovy
29
7
0
08 Nov 2022
COPEN: Probing Conceptual Knowledge in Pre-trained Language Models
COPEN: Probing Conceptual Knowledge in Pre-trained Language Models
Hao Peng
Xiaozhi Wang
Shengding Hu
Hailong Jin
Lei Hou
Juanzi Li
Zhiyuan Liu
Qun Liu
18
22
0
08 Nov 2022
Do Charge Prediction Models Learn Legal Theory?
Do Charge Prediction Models Learn Legal Theory?
Zhenwei An
Quzhe Huang
Cong Jiang
Yansong Feng
Dongyan Zhao
ELM
AILaw
27
6
0
31 Oct 2022
Improving Bilingual Lexicon Induction with Cross-Encoder Reranking
Improving Bilingual Lexicon Induction with Cross-Encoder Reranking
Yaoyiran Li
Fangyu Liu
Ivan Vulić
Anna Korhonen
34
10
0
30 Oct 2022
The Better Your Syntax, the Better Your Semantics? Probing Pretrained
  Language Models for the English Comparative Correlative
The Better Your Syntax, the Better Your Semantics? Probing Pretrained Language Models for the English Comparative Correlative
Leonie Weissweiler
Valentin Hofmann
Abdullatif Köksal
Hinrich Schütze
32
32
0
24 Oct 2022
Understanding Domain Learning in Language Models Through Subpopulation
  Analysis
Understanding Domain Learning in Language Models Through Subpopulation Analysis
Zheng Zhao
Yftah Ziser
Shay B. Cohen
34
6
0
22 Oct 2022
What do Large Language Models Learn beyond Language?
What do Large Language Models Learn beyond Language?
Avinash Madasu
Shashank Srivastava
LRM
AI4CE
44
5
0
21 Oct 2022
Transparency Helps Reveal When Language Models Learn Meaning
Transparency Helps Reveal When Language Models Learn Meaning
Zhaofeng Wu
William Merrill
Hao Peng
Iz Beltagy
Noah A. Smith
19
9
0
14 Oct 2022
Massively Multilingual Lexical Specialization of Multilingual
  Transformers
Massively Multilingual Lexical Specialization of Multilingual Transformers
Tommaso Green
Simone Paolo Ponzetto
Goran Glavavs
24
0
0
01 Aug 2022
Understanding Robust Learning through the Lens of Representation
  Similarities
Understanding Robust Learning through the Lens of Representation Similarities
Christian Cianfarani
A. Bhagoji
Vikash Sehwag
Ben Y. Zhao
Prateek Mittal
Haitao Zheng
OOD
21
16
0
20 Jun 2022
How to Dissect a Muppet: The Structure of Transformer Embedding Spaces
How to Dissect a Muppet: The Structure of Transformer Embedding Spaces
Timothee Mickus
Denis Paperno
Mathieu Constant
21
19
0
07 Jun 2022
Improving Contextual Representation with Gloss Regularized Pre-training
Improving Contextual Representation with Gloss Regularized Pre-training
Yu Lin
Zhecheng An
Peihao Wu
Zejun Ma
19
5
0
13 May 2022
Same Neurons, Different Languages: Probing Morphosyntax in Multilingual
  Pre-trained Models
Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models
Karolina Stañczak
E. Ponti
Lucas Torroba Hennigen
Ryan Cotterell
Isabelle Augenstein
MILM
LRM
27
10
0
04 May 2022
Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence
  Encoders
Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders
Ivan Vulić
Goran Glavavs
Fangyu Liu
Nigel Collier
E. Ponti
Anna Korhonen
28
8
0
30 Apr 2022
GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text
  Generation
GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation
Anthony Colas
Mehrdad Alvandipour
D. Wang
25
23
0
13 Apr 2022
Probing Pre-Trained Language Models for Cross-Cultural Differences in
  Values
Probing Pre-Trained Language Models for Cross-Cultural Differences in Values
Arnav Arora
Lucie-Aimée Kaffee
Isabelle Augenstein
VLM
31
123
0
25 Mar 2022
Geographic Adaptation of Pretrained Language Models
Geographic Adaptation of Pretrained Language Models
Valentin Hofmann
Goran Glavavs
Nikola Ljubevsić
J. Pierrehumbert
Hinrich Schütze
VLM
21
16
0
16 Mar 2022
Improving Word Translation via Two-Stage Contrastive Learning
Improving Word Translation via Two-Stage Contrastive Learning
Yaoyiran Li
Fangyu Liu
Nigel Collier
Anna Korhonen
Ivan Vulić
39
29
0
15 Mar 2022
On the data requirements of probing
On the data requirements of probing
Zining Zhu
Jixuan Wang
Bai Li
Frank Rudzicz
19
5
0
25 Feb 2022
Assessing the State of Self-Supervised Human Activity Recognition using
  Wearables
Assessing the State of Self-Supervised Human Activity Recognition using Wearables
H. Haresamudram
Irfan Essa
Thomas Plötz
SSL
42
86
0
22 Feb 2022
A Latent-Variable Model for Intrinsic Probing
A Latent-Variable Model for Intrinsic Probing
Karolina Stañczak
Lucas Torroba Hennigen
Adina Williams
Ryan Cotterell
Isabelle Augenstein
21
4
0
20 Jan 2022
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token
  Attributions in Different Languages?
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages?
Junxiang Wang
Xuchao Zhang
Bo Zong
Yanchi Liu
Wei Cheng
Jingchao Ni
Haifeng Chen
Liang Zhao
AAML
32
0
0
23 Dec 2021
On Cross-Lingual Retrieval with Multilingual Text Encoders
On Cross-Lingual Retrieval with Multilingual Text Encoders
Robert Litschko
Ivan Vulić
Simone Paolo Ponzetto
Goran Glavavs
19
38
0
21 Dec 2021
Decomposing Natural Logic Inferences in Neural NLI
Decomposing Natural Logic Inferences in Neural NLI
Julia Rozanova
Deborah Ferreira
Marco Valentino
Mokanrarangan Thayaparan
André Freitas
NAI
LRM
12
4
0
15 Dec 2021
Measuring Context-Word Biases in Lexical Semantic Datasets
Measuring Context-Word Biases in Lexical Semantic Datasets
Qianchu Liu
Diana McCarthy
Anna Korhonen
31
2
0
13 Dec 2021
Using Distributional Principles for the Semantic Study of Contextual
  Language Models
Using Distributional Principles for the Semantic Study of Contextual Language Models
Olivier Ferret
22
1
0
23 Nov 2021
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey
Xiaokai Wei
Shen Wang
Dejiao Zhang
Parminder Bhatia
Andrew O. Arnold
KELM
29
45
0
16 Oct 2021
Prix-LM: Pretraining for Multilingual Knowledge Base Construction
Prix-LM: Pretraining for Multilingual Knowledge Base Construction
Wenxuan Zhou
Fangyu Liu
Ivan Vulić
Nigel Collier
Muhao Chen
KELM
72
18
0
16 Oct 2021
Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Benyou Wang
Qianqian Xie
Jiahuan Pei
Zhihong Chen
Prayag Tiwari
Zhao Li
Jie Fu
LM&MA
AI4CE
37
163
0
11 Oct 2021
Does Vision-and-Language Pretraining Improve Lexical Grounding?
Does Vision-and-Language Pretraining Improve Lexical Grounding?
Tian Yun
Chen Sun
Ellie Pavlick
VLM
CoGe
40
30
0
21 Sep 2021
Distilling Relation Embeddings from Pre-trained Language Models
Distilling Relation Embeddings from Pre-trained Language Models
Asahi Ushio
Jose Camacho-Collados
Steven Schockaert
19
21
0
21 Sep 2021
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models
Ivan Vulić
Pei-hao Su
Sam Coope
D. Gerz
Paweł Budzianowski
I. Casanueva
Nikola Mrkvsić
Tsung-Hsien Wen
24
36
0
21 Sep 2021
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