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NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge
  Bases
v1v2 (latest)

NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
15 November 2020
Tara Safavi
Jing Zhu
Danai Koutra
ArXiv (abs)PDFHTML

Papers citing "NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases"

9 / 9 papers shown
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
Yuhang Zhou
Jing Zhu
Shengyi Qian
Zhuokai Zhao
Xiyao Wang
Xiaoyu Liu
Ming Li
Paiheng Xu
Wei Ai
Furong Huang
485
5
0
21 May 2025
From No to Know: Taxonomy, Challenges, and Opportunities for Negation Understanding in Multimodal Foundation Models
From No to Know: Taxonomy, Challenges, and Opportunities for Negation Understanding in Multimodal Foundation Models
Mayank Vatsa
Aparna Bharati
S. Mittal
Richa Singh
419
2
0
10 Feb 2025
Learn "No" to Say "Yes" Better: Improving Vision-Language Models via
  Negations
Learn "No" to Say "Yes" Better: Improving Vision-Language Models via Negations
Jaisidh Singh
Ishaan Shrivastava
Mayank Vatsa
Richa Singh
Aparna Bharati
VLMCoGe
288
41
0
29 Mar 2024
Gold: A Global and Local-aware Denoising Framework for Commonsense
  Knowledge Graph Noise Detection
Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise DetectionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Zheye Deng
Weiqi Wang
Zhaowei Wang
Xin Liu
Yangqiu Song
216
11
0
18 Oct 2023
Say What You Mean! Large Language Models Speak Too Positively about
  Negative Commonsense Knowledge
Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense KnowledgeAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Jiangjie Chen
Wei Shi
Ziquan Fu
Sijie Cheng
Lei Li
Yanghua Xiao
292
61
0
10 May 2023
Completeness, Recall, and Negation in Open-World Knowledge Bases: A
  Survey
Completeness, Recall, and Negation in Open-World Knowledge Bases: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Simon Razniewski
Hiba Arnaout
Tuan-Phong Nguyen
Fabian M. Suchanek
269
15
0
09 May 2023
UnCommonSense: Informative Negative Knowledge about Everyday Concepts
UnCommonSense: Informative Negative Knowledge about Everyday ConceptsInternational Conference on Information and Knowledge Management (CIKM), 2022
Hiba Arnaout
Simon Razniewski
Gerhard Weikum
Jeff Z. Pan
256
15
0
19 Aug 2022
Generating Scientific Claims for Zero-Shot Scientific Fact Checking
Generating Scientific Claims for Zero-Shot Scientific Fact CheckingAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Dustin Wright
Aman Rangapur
Kyle Lo
Bailey Kuehl
Arman Cohan
Isabelle Augenstein
Lucy Lu Wang
MedIm
339
76
0
24 Mar 2022
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUsIEEE Transactions on Big Data (TBD), 2017
Jeff Johnson
Matthijs Douze
Edouard Grave
1.3K
4,945
0
28 Feb 2017
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