131 citations · 291 across the 34 of their papers we have counts for
5 papers · 1 filter
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models
Minwoo Lee, Seungpil Won, Juae Kim +3
Fact verification datasets are typically constructed using crowdsourcing techniques due to the lack of text sources with veracity labels. However, the crowdsourcing process often p…
Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information
Yongkeun Hwang, Hyungu Yun, Kyomin Jung
Context-aware neural machine translation (NMT) incorporates contextual information of surrounding texts, that can improve the translation quality of document-level machine translat…
QACE: Asking Questions to Evaluate an Image Caption
Hwanhee Lee, Thomas Scialom, Seunghyun Yoon +2
In this paper, we propose QACE, a new metric based on Question Answering for Caption Evaluation. QACE generates questions on the evaluated caption and checks its content by asking…
UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning
Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt +2
Despite the success of various text generation metrics such as BERTScore, it is still difficult to evaluate the image captions without enough reference captions due to the diversit…
Neural Sequence-to-grid Module for Learning Symbolic Rules
Segwang Kim, Hyoungwook Nam, Joonyoung Kim +1
Logical reasoning tasks over symbols, such as learning arithmetic operations and computer program evaluations, have become challenges to deep learning. In particular, even state-of…