1 code implementation • EMNLP 2020 • Bugeun Kim, Kyung Seo Ki, Donggeon Lee, Gahgene Gweon
The contribution of this paper is two-fold; (1) We propose a pure neural model, EPT, which can address the expression fragmentation and the operand-context separation.
Ranked #3 on Math Word Problem Solving on DRAW-1K
1 code implementation • 13 Feb 2023 • Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Donggeon Lee, Sang Woo Kim
In this study, we investigate the correct position to apply dropout.
1 code implementation • 30 Jan 2022 • Wonpyo Park, WoongGi Chang, Donggeon Lee, Juntae Kim, Seung-won Hwang
The former loses preciseness of relative position from linearization, while the latter loses a tight integration of node-edge and node-topology interaction.
Ranked #13 on Graph Regression on PCQM4Mv2-LSC
no code implementations • 11 Aug 2021 • Donggeon Lee, SeongHo Choi, Youwon Jang, Byoung-Tak Zhang
In this paper, we challenge the existing multiple-choice video question answering by changing it to open-ended video question answering.
no code implementations • COLING 2020 • Kyung Seo Ki, Donggeon Lee, Bugeun Kim, Gahgene Gweon
In this paper, we propose the GEO (Generation of Equations by utilizing Operators) model that does not use hand-crafted features and addresses two issues that are present in existing neural models: 1. missing domain-specific knowledge features and 2. losing encoder-level knowledge.
Ranked #2 on Math Word Problem Solving on DRAW-1K