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

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

30 April 2020

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

11 / 11 papers shown

Title
Formal Proofs as Structured Explanations: Proposing Several Tasks on Explainable Natural Language Inference Lasha Abzianidze LRM XAI 21 0 0 15 Nov 2023
Collaborative Development of NLP models Fereshte Khani Marco Tulio Ribeiro 38 2 0 20 May 2023
Can Transformers Reason in Fragments of Natural Language? Viktor Schlegel Kamen V. Pavlov Ian Pratt-Hartmann LRM ReLM 35 7 0 10 Nov 2022
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 129 95 0 06 Oct 2022
Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks Ruixiang Cui Daniel Hershcovich Anders Søgaard 30 13 0 22 Apr 2022
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference Yufei Feng Xiaoyu Yang Xiao-Dan Zhu Michael A. Greenspan LRM NAI 50 11 0 09 Mar 2022
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability Kyle Richardson Ashish Sabharwal ReLM LRM 35 24 0 16 Dec 2021
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics Hitomi Yanaka K. Mineshima Kentaro Inui NAI AI4CE 38 11 0 02 Jun 2021
Exploring Transitivity in Neural NLI Models through Veridicality Hitomi Yanaka K. Mineshima Kentaro Inui 28 23 0 26 Jan 2021
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 190 576 0 02 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,996 0 20 Apr 2018