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Improving negation detection with negation-focused pre-training

Improving negation detection with negation-focused pre-training

North American Chapter of the Association for Computational Linguistics (NAACL), 2022
9 May 2022
Thinh Hung Truong
Timothy Baldwin
Trevor Cohn
Karin Verspoor
ArXiv (abs)PDFHTML

Papers citing "Improving negation detection with negation-focused pre-training"

11 / 11 papers shown
Title
Semantic Adapter for Universal Text Embeddings: Diagnosing and Mitigating Negation Blindness to Enhance Universality
Semantic Adapter for Universal Text Embeddings: Diagnosing and Mitigating Negation Blindness to Enhance Universality
Hongliu Cao
362
1
0
01 Apr 2025
Are LLMs Models of Distributional Semantics? A Case Study on Quantifiers
Are LLMs Models of Distributional Semantics? A Case Study on Quantifiers
Zhang Enyan
Zewei Wang
Michael A. Lepori
Ellie Pavlick
Helena Aparicio
300
3
0
17 Oct 2024
Paraphrasing in Affirmative Terms Improves Negation Understanding
Paraphrasing in Affirmative Terms Improves Negation Understanding
MohammadHossein Rezaei
Eduardo Blanco
186
6
0
11 Jun 2024
Negation Triplet Extraction with Syntactic Dependency and Semantic
  Consistency
Negation Triplet Extraction with Syntactic Dependency and Semantic Consistency
Yuchen Shi
Deqing Yang
Jingping Liu
Yanghua Xiao
Zongyu Wang
Huimin Xu
136
0
0
15 Apr 2024
Large Language Models Only Pass Primary School Exams in Indonesia: A
  Comprehensive Test on IndoMMLU
Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLUConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Fajri Koto
Nurul Aisyah
Jinyan Su
Timothy Baldwin
AI4EdLRMELM
289
57
0
07 Oct 2023
This is not correct! Negation-aware Evaluation of Language Generation
  Systems
This is not correct! Negation-aware Evaluation of Language Generation SystemsInternational Conference on Natural Language Generation (INLG), 2023
Miriam Anschütz
Diego Miguel Lozano
Georg Groh
281
21
0
26 Jul 2023
Language models are not naysayers: An analysis of language models on
  negation benchmarks
Language models are not naysayers: An analysis of language models on negation benchmarks
Thinh Hung Truong
Timothy Baldwin
Karin Verspoor
Trevor Cohn
246
79
0
14 Jun 2023
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language
  Models
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Yuhui Zhang
Michihiro Yasunaga
Zhengping Zhou
Jeff Z. HaoChen
James Zou
Abigail Z. Jacobs
Serena Yeung
253
11
0
27 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
204
8
0
24 May 2023
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about
  Negation
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about NegationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Abhilasha Ravichander
Matt Gardner
Ana Marasović
257
41
0
01 Nov 2022
Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal
  Negation
Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation
Thinh Hung Truong
Yulia Otmakhova
Tim Baldwin
Trevor Cohn
Jey Han Lau
Karin Verspoor
261
26
0
06 Oct 2022
1