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Do Neural Models Learn Systematicity of Monotonicity Inference in
  Natural Language?
v1v2 (latest)

Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?

30 April 2020
Hitomi Yanaka
K. Mineshima
D. Bekki
Kentaro Inui
    NAI
ArXiv (abs)PDFHTML

Papers citing "Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?"

19 / 19 papers shown
Title
Scope Ambiguities in Large Language Models
Scope Ambiguities in Large Language Models
Gaurav Kamath
Sebastian Schuster
Sowmya Vajjala
Siva Reddy
69
6
0
05 Apr 2024
Formal Proofs as Structured Explanations: Proposing Several Tasks on Explainable Natural Language Inference
Formal Proofs as Structured Explanations: Proposing Several Tasks on Explainable Natural Language Inference
Lasha Abzianidze
LRMXAI
132
0
0
15 Nov 2023
NatLogAttack: A Framework for Attacking Natural Language Inference
  Models with Natural Logic
NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic
Zióu Zheng
Xiao-Dan Zhu
AAMLLRM
98
6
0
06 Jul 2023
ScoNe: Benchmarking Negation Reasoning in Language Models With
  Fine-Tuning and In-Context Learning
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning
Jingyuan Selena She
Christopher Potts
Sam Bowman
Atticus Geiger
94
15
0
30 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
61
6
0
24 May 2023
Collaborative Development of NLP models
Collaborative Development of NLP models
Fereshte Khani
Marco Tulio Ribeiro
78
2
0
20 May 2023
Can Transformers Reason in Fragments of Natural Language?
Can Transformers Reason in Fragments of Natural Language?
Viktor Schlegel
Kamen V. Pavlov
Ian Pratt-Hartmann
LRMReLM
77
7
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 review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
270
99
0
06 Oct 2022
Towards Faithful Model Explanation in NLP: A Survey
Towards Faithful Model Explanation in NLP: A Survey
Qing Lyu
Marianna Apidianaki
Chris Callison-Burch
XAI
237
120
0
22 Sep 2022
Generalized Quantifiers as a Source of Error in Multilingual NLU
  Benchmarks
Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks
Ruixiang Cui
Daniel Hershcovich
Anders Søgaard
87
13
0
22 Apr 2022
Neuro-symbolic Natural Logic with Introspective Revision for Natural
  Language Inference
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference
Yufei Feng
Xiaoyu Yang
Xiao-Dan Zhu
Michael A. Greenspan
LRMNAI
124
11
0
09 Mar 2022
Pushing the Limits of Rule Reasoning in Transformers through Natural
  Language Satisfiability
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability
Kyle Richardson
Ashish Sabharwal
ReLMLRM
88
25
0
16 Dec 2021
Do Grammatical Error Correction Models Realize Grammatical
  Generalization?
Do Grammatical Error Correction Models Realize Grammatical Generalization?
Masato Mita
Hitomi Yanaka
99
13
0
06 Jun 2021
Figurative Language in Recognizing Textual Entailment
Figurative Language in Recognizing Textual Entailment
Tuhin Chakrabarty
Debanjan Ghosh
Adam Poliak
Smaranda Muresan
64
38
0
02 Jun 2021
SyGNS: A Systematic Generalization Testbed Based on Natural Language
  Semantics
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics
Hitomi Yanaka
K. Mineshima
Kentaro Inui
NAIAI4CE
114
11
0
02 Jun 2021
Exploring Transitivity in Neural NLI Models through Veridicality
Exploring Transitivity in Neural NLI Models through Veridicality
Hitomi Yanaka
K. Mineshima
Kentaro Inui
82
23
0
26 Jan 2021
Robustness Gym: Unifying the NLP Evaluation Landscape
Robustness Gym: Unifying the NLP Evaluation Landscape
Karan Goel
Nazneen Rajani
Jesse Vig
Samson Tan
Jason M. Wu
Stephan Zheng
Caiming Xiong
Joey Tianyi Zhou
Christopher Ré
AAMLOffRLOOD
199
140
0
13 Jan 2021
The Extraordinary Failure of Complement Coercion Crowdsourcing
The Extraordinary Failure of Complement Coercion Crowdsourcing
Yanai Elazar
Victoria Basmov
Shauli Ravfogel
Yoav Goldberg
Reut Tsarfaty
99
6
0
12 Oct 2020
Diversify Your Datasets: Analyzing Generalization via Controlled
  Variance in Adversarial Datasets
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets
Ohad Rozen
Vered Shwartz
Roee Aharoni
Ido Dagan
AAML
90
38
0
21 Oct 2019
1