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It's not a Non-Issue: Negation as a Source of Error in Machine
  Translation

It's not a Non-Issue: Negation as a Source of Error in Machine Translation

12 October 2020
Md Mosharaf Hossain
Antonios Anastasopoulos
Eduardo Blanco
Alexis Palmer
ArXivPDFHTML

Papers citing "It's not a Non-Issue: Negation as a Source of Error in Machine Translation"

6 / 6 papers shown
Title
URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base
URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base
Aditya Khan
Mason Shipton
David Anugraha
Kaiyao Duan
Phuong H. Hoang
Eric Khiu
A. Seza Doğruöz
En-Shiun Annie Lee
VLM
57
3
0
17 Feb 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
63
0
0
10 Feb 2025
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about
  Negation
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation
Abhilasha Ravichander
Matt Gardner
Ana Marasović
33
34
0
01 Nov 2022
On the Limitations of Dataset Balancing: The Lost Battle Against
  Spurious Correlations
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations
Roy Schwartz
Gabriel Stanovsky
42
26
0
27 Apr 2022
AI and the Everything in the Whole Wide World Benchmark
AI and the Everything in the Whole Wide World Benchmark
Inioluwa Deborah Raji
Emily M. Bender
Amandalynne Paullada
Emily L. Denton
A. Hanna
30
292
0
26 Nov 2021
On the Limits of Minimal Pairs in Contrastive Evaluation
On the Limits of Minimal Pairs in Contrastive Evaluation
Jannis Vamvas
Rico Sennrich
52
16
0
15 Sep 2021
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