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Probing Linguistic Systematicity
v1v2 (latest)

Probing Linguistic Systematicity

8 May 2020
Emily Goodwin
Koustuv Sinha
Timothy J. O'Donnell
ArXiv (abs)PDFHTML

Papers citing "Probing Linguistic Systematicity"

39 / 39 papers shown
Title
Natural Language Satisfiability: Exploring the Problem Distribution and Evaluating Transformer-based Language Models
Natural Language Satisfiability: Exploring the Problem Distribution and Evaluating Transformer-based Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Tharindu Madusanka
Ian Pratt-Hartmann
Riza Batista-Navarro
LRM
68
2
0
23 Aug 2025
Logic Haystacks: Probing LLMs Long-Context Logical Reasoning (Without Easily Identifiable Unrelated Padding)
Logic Haystacks: Probing LLMs Long-Context Logical Reasoning (Without Easily Identifiable Unrelated Padding)
Damien Sileo
RALMLRM
135
1
0
24 Feb 2025
Evaluating Morphological Compositional Generalization in Large Language Models
Evaluating Morphological Compositional Generalization in Large Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Mete Ismayilzada
Yuan Chiang
Jonne Sälevä
Hale Sirin
Abdullatif Köksal
Bhuwan Dhingra
Antoine Bosselut
Lonneke van der Plas
Duygu Ataman
255
11
0
16 Oct 2024
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn
Vahid Majdinasab
Amin Nikanjam
Foutse Khomh
148
1
0
11 Jul 2024
Scaling Synthetic Logical Reasoning Datasets with Context-Sensitive
  Declarative Grammars
Scaling Synthetic Logical Reasoning Datasets with Context-Sensitive Declarative Grammars
Damien Sileo
LRMReLM
184
5
0
16 Jun 2024
Exploring Continual Learning of Compositional Generalization in NLI
Exploring Continual Learning of Compositional Generalization in NLI
Xiyan Fu
Anette Frank
CLLLRM
150
5
0
07 Mar 2024
EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph
  Completion
EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion
Ying Su
Tianqing Fang
Huiru Xiao
Weiqi Wang
Yangqiu Song
Tong Zhang
Lei Chen
119
0
0
15 Feb 2024
Systematic word meta-sense extension
Systematic word meta-sense extensionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Lei Yu
118
2
0
21 Nov 2023
Dynamic MOdularized Reasoning for Compositional Structured Explanation
  Generation
Dynamic MOdularized Reasoning for Compositional Structured Explanation Generation
Xiyan Fu
Anette Frank
LRM
123
2
0
14 Sep 2023
Do PLMs Know and Understand Ontological Knowledge?
Do PLMs Know and Understand Ontological Knowledge?Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Weiqi Wu
Chengyue Jiang
Yong Jiang
Pengjun Xie
Kewei Tu
149
33
0
12 Sep 2023
SETI: Systematicity Evaluation of Textual Inference
SETI: Systematicity Evaluation of Textual InferenceAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Xiyan Fu
Anette Frank
LRM
94
6
0
24 May 2023
Simple Linguistic Inferences of Large Language Models (LLMs): Blind
  Spots and Blinds
Simple Linguistic Inferences of Large Language Models (LLMs): Blind Spots and Blinds
Victoria Basmov
Yoav Goldberg
Reut Tsarfaty
ReLMLRM
144
7
0
24 May 2023
Understanding Natural Language Understanding Systems. A Critical
  Analysis
Understanding Natural Language Understanding Systems. A Critical Analysis
Alessandro Lenci
ELM
108
12
0
01 Mar 2023
Can Transformers Reason in Fragments of Natural Language?
Can Transformers Reason in Fragments of Natural Language?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Viktor Schlegel
Kamen V. Pavlov
Ian Pratt-Hartmann
LRMReLM
142
9
0
10 Nov 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and reviewNature Machine Intelligence (Nat. Mach. Intell.), 2022
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Robert Bamler
Zhijing Jin
440
123
0
06 Oct 2022
Towards Faithful Model Explanation in NLP: A Survey
Towards Faithful Model Explanation in NLP: A SurveyComputational Linguistics (CL), 2022
Qing Lyu
Marianna Apidianaki
Chris Callison-Burch
XAI
326
157
0
22 Sep 2022
Compositional Evaluation on Japanese Textual Entailment and Similarity
Compositional Evaluation on Japanese Textual Entailment and SimilarityTransactions of the Association for Computational Linguistics (TACL), 2022
Hitomi Yanaka
K. Mineshima
139
28
0
09 Aug 2022
Unit Testing for Concepts in Neural Networks
Unit Testing for Concepts in Neural NetworksTransactions of the Association for Computational Linguistics (TACL), 2022
Charles Lovering
Ellie Pavlick
144
30
0
28 Jul 2022
Systematicity, Compositionality and Transitivity of Deep NLP Models: a
  Metamorphic Testing Perspective
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing PerspectiveFindings (Findings), 2022
Edoardo Manino
Julia Rozanova
Danilo S. Carvalho
André Freitas
Lucas C. Cordeiro
109
10
0
26 Apr 2022
When classifying grammatical role, BERT doesn't care about word order...
  except when it matters
When classifying grammatical role, BERT doesn't care about word order... except when it mattersAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Isabel Papadimitriou
Richard Futrell
Kyle Mahowald
MILM
157
34
0
11 Mar 2022
Neuro-symbolic Natural Logic with Introspective Revision for Natural
  Language Inference
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language InferenceTransactions of the Association for Computational Linguistics (TACL), 2022
Yufei Feng
Xiaoyu Yang
Xiao-Dan Zhu
Michael A. Greenspan
LRMNAI
243
13
0
09 Mar 2022
Do Transformers know symbolic rules, and would we know if they did?
Do Transformers know symbolic rules, and would we know if they did?
Tommi Gröndahl
Yu-Wen Guo
Nirmal Asokan
158
0
0
19 Feb 2022
A Latent-Variable Model for Intrinsic Probing
A Latent-Variable Model for Intrinsic ProbingAAAI Conference on Artificial Intelligence (AAAI), 2022
Karolina Stañczak
Lucas Torroba Hennigen
Adina Williams
Robert Bamler
Isabelle Augenstein
216
4
0
20 Jan 2022
Decomposing Natural Logic Inferences in Neural NLI
Decomposing Natural Logic Inferences in Neural NLI
Julia Rozanova
Deborah Ferreira
Marco Valentino
Mokanrarangan Thayaparan
André Freitas
NAILRM
150
4
0
15 Dec 2021
Frequency Effects on Syntactic Rule Learning in Transformers
Frequency Effects on Syntactic Rule Learning in Transformers
Jason W. Wei
Dan Garrette
Tal Linzen
Ellie Pavlick
194
71
0
14 Sep 2021
How Does Fine-tuning Affect the Geometry of Embedding Space: A Case
  Study on Isotropy
How Does Fine-tuning Affect the Geometry of Embedding Space: A Case Study on IsotropyConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
S. Rajaee
Mohammad Taher Pilehvar
204
24
0
10 Sep 2021
Synthesizing Adversarial Negative Responses for Robust Response Ranking
  and Evaluation
Synthesizing Adversarial Negative Responses for Robust Response Ranking and EvaluationFindings (Findings), 2021
Prakhar Gupta
Yulia Tsvetkov
Jeffrey P. Bigham
120
24
0
10 Jun 2021
Investigating Transfer Learning in Multilingual Pre-trained Language
  Models through Chinese Natural Language Inference
Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language InferenceFindings (Findings), 2021
Hai Hu
He Zhou
Zuoyu Tian
Yiwen Zhang
Yina Ma
Yanting Li
Yixin Nie
Kyle Richardson
117
11
0
07 Jun 2021
Structured Reordering for Modeling Latent Alignments in Sequence
  Transduction
Structured Reordering for Modeling Latent Alignments in Sequence TransductionNeural Information Processing Systems (NeurIPS), 2021
Bailin Wang
Mirella Lapata
Ivan Titov
BDL
154
20
0
06 Jun 2021
SyGNS: A Systematic Generalization Testbed Based on Natural Language
  Semantics
SyGNS: A Systematic Generalization Testbed Based on Natural Language SemanticsFindings (Findings), 2021
Hitomi Yanaka
K. Mineshima
Kentaro Inui
NAIAI4CE
187
11
0
02 Jun 2021
Supporting Context Monotonicity Abstractions in Neural NLI Models
Supporting Context Monotonicity Abstractions in Neural NLI Models
Julia Rozanova
Deborah Ferreira
Mokanarangan Thayaparan
Marco Valentino
André Freitas
68
10
0
17 May 2021
Modeling Event Plausibility with Consistent Conceptual Abstraction
Modeling Event Plausibility with Consistent Conceptual AbstractionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Ian Porada
Kaheer Suleman
Adam Trischler
Jackie C.K. Cheung
187
20
0
20 Apr 2021
DirectProbe: Studying Representations without Classifiers
DirectProbe: Studying Representations without ClassifiersNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Yichu Zhou
Vivek Srikumar
137
35
0
13 Apr 2021
Exploring Transitivity in Neural NLI Models through Veridicality
Exploring Transitivity in Neural NLI Models through VeridicalityConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Hitomi Yanaka
K. Mineshima
Kentaro Inui
130
23
0
26 Jan 2021
Situation and Behavior Understanding by Trope Detection on Films
Situation and Behavior Understanding by Trope Detection on FilmsThe Web Conference (WWW), 2021
Chen-Hsi Chang
Hung-Ting Su
Jui-Heng Hsu
Yu-Siang Wang
Yu-Cheng Chang
Zhe-Yu Liu
Ya-Liang Chang
Wen-Feng Cheng
Ke-Jyun Wang
Winston H. Hsu
178
7
0
19 Jan 2021
Inferring symmetry in natural language
Inferring symmetry in natural language
Chelsea Tanchip
Lei Yu
Aotao Xu
Yang Xu
84
5
0
16 Oct 2020
Measuring Systematic Generalization in Neural Proof Generation with
  Transformers
Measuring Systematic Generalization in Neural Proof Generation with Transformers
Nicolas Angelard-Gontier
Koustuv Sinha
Siva Reddy
C. Pal
LRM
151
67
0
30 Sep 2020
Relational reasoning and generalization using non-symbolic neural
  networks
Relational reasoning and generalization using non-symbolic neural networksAnnual Meeting of the Cognitive Science Society (CogSci), 2020
Atticus Geiger
Alexandra Carstensen Michael C. Frank
Michael C. Frank
Christopher Potts
NAI
159
22
0
14 Jun 2020
Discovering the Compositional Structure of Vector Representations with
  Role Learning Networks
Discovering the Compositional Structure of Vector Representations with Role Learning NetworksBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackBoxNLP), 2019
Paul Soulos
R. Thomas McCoy
Tal Linzen
P. Smolensky
CoGe
231
45
0
21 Oct 2019
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