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HELP: A Dataset for Identifying Shortcomings of Neural Models in
  Monotonicity Reasoning

HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning

27 April 2019
Hitomi Yanaka
K. Mineshima
D. Bekki
Kentaro Inui
Satoshi Sekine
Lasha Abzianidze
Johan Bos
ArXivPDFHTML

Papers citing "HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning"

6 / 6 papers shown
Title
GLoRE: Evaluating Logical Reasoning of Large Language Models
GLoRE: Evaluating Logical Reasoning of Large Language Models
Hanmeng Liu
Zhiyang Teng
Ruoxi Ning
Jian Liu
Qiji Zhou
Yuexin Zhang
Yue Zhang
ReLM
ELM
LRM
101
8
0
13 Oct 2023
Breaking NLI Systems with Sentences that Require Simple Lexical
  Inferences
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences
Max Glockner
Vered Shwartz
Yoav Goldberg
NAI
72
365
0
06 May 2018
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
227
579
0
02 May 2018
Annotation Artifacts in Natural Language Inference Data
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
134
1,175
0
06 Mar 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
499
4,473
0
18 Apr 2017
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
286
4,280
0
21 Aug 2015
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