Search Results for author: Seungpil Won

Found 3 papers, 2 papers with code

Date Published Github Stars

Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder

2 code implementations • 17 Nov 2018 • Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, Kyomin Jung

Some news headlines mislead readers with overrated or false information, and identifying them in advance will better assist readers in choosing proper news stories to consume.

Data Augmentation Fake News Detection +2

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Code

CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models

1 code implementation • 30 Sep 2021 • Minwoo Lee, Seungpil Won, Juae Kim, Hwanhee Lee, Cheoneum Park, Kyomin Jung

Specifically, we employ a two-stage augmentation pipeline to generate new claims and evidences from existing samples.

Data Augmentation Fact Verification

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Collaborative Training of GANs in Continuous and Discrete Spaces for Text Generation

no code implementations • 16 Oct 2020 • Yanghoon Kim, Seungpil Won, Seunghyun Yoon, Kyomin Jung

Applying generative adversarial networks (GANs) to text-related tasks is challenging due to the discrete nature of language.

Reinforcement Learning (RL) Text Generation

 
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