Seunghyun Yoon

research

∙ 09/15/2023

Multilingual Sentence-Level Semantic Search using Meta-Distillation Learning

Multilingual semantic search is the task of retrieving relevant contents...

0 Meryem M'hamdi, et al. ∙

research

∙ 07/24/2023

Boosting Punctuation Restoration with Data Generation and Reinforcement Learning

Punctuation restoration is an important task in automatic speech recogni...

0 Viet Dac Lai, et al. ∙

research

∙ 03/15/2023

PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning

Vulnerability to lexical perturbation is a critical weakness of automati...

0 Yongil Kim, et al. ∙

research

∙ 10/14/2022

Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations

Most weakly supervised named entity recognition (NER) models rely on dom...

0 Hyunjae Kim, et al. ∙

research

∙ 07/26/2022

Multimodal Speech Emotion Recognition using Cross Attention with Aligned Audio and Text

In this paper, we propose a novel speech emotion recognition model calle...

0 Yoonhyung Lee, et al. ∙

research

∙ 07/19/2022

PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic Search

Since BERT (Devlin et al., 2018), learning contextualized word embedding...

4 Thang M. Pham, et al. ∙

research

∙ 05/26/2022

Fine-grained Image Captioning with CLIP Reward

Modern image captioning models are usually trained with text similarity ...

8 Jaemin Cho, et al. ∙

research

∙ 04/18/2022

Factual Error Correction for Abstractive Summaries Using Entity Retrieval

Despite the recent advancements in abstractive summarization systems lev...

0 Hwanhee Lee, et al. ∙

research

∙ 04/12/2022

How does fake news use a thumbnail? CLIP-based Multimodal Detection on the Unrepresentative News Image

This study investigates how fake news uses a thumbnail for a news articl...

3 Hyewon Choi, et al. ∙

research

∙ 02/24/2022

CAISE: Conversational Agent for Image Search and Editing

Demand for image editing has been increasing as users' desire for expres...

2 Hyounghun Kim, et al. ∙

research

∙ 02/19/2022

MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction

Acronym extraction is the task of identifying acronyms and their expande...

0 Amir Pouran Ben Veyseh, et al. ∙

research

∙ 12/16/2021

Simple Questions Generate Named Entity Recognition Datasets

Named entity recognition (NER) is a task of extracting named entities of...

0 Hyunjae Kim, et al. ∙

research

∙ 09/13/2021

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning

In this work, we focus on a more challenging few-shot intent detection s...

0 Jianguo Zhang, et al. ∙

research

∙ 08/28/2021

QACE: Asking Questions to Evaluate an Image Caption

In this paper, we propose QACE, a new metric based on Question Answering...

0 Hwanhee Lee, et al. ∙

research

∙ 06/26/2021

UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning

Despite the success of various text generation metrics such as BERTScore...

0 Hwanhee Lee, et al. ∙

research

∙ 10/16/2020

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

Applying generative adversarial networks (GANs) to text-related tasks is...

0 Yanghoon Kim, et al. ∙

research

∙ 05/01/2020

KPQA: A Metric for Generative Question Answering Using Word Weights

For the automatic evaluation of Generative Question Answering (genQA) sy...

0 Hwanhee Lee, et al. ∙

research

∙ 04/17/2020

Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning

Even though BERT achieves successful performance improvements in various...

0 Joongbo Shin, et al. ∙

research

∙ 04/01/2020

Drug-disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data

Adverse Drug Reaction (ADR) is a significant public health concern world...

0 Heeyoung Kwak, et al. ∙

research

∙ 03/23/2020

BaitWatcher: A lightweight web interface for the detection of incongruent news headlines

In digital environments where substantial amounts of information are sha...

0 Kunwoo Park, et al. ∙

research

∙ 11/29/2019

Attentive Modality Hopping Mechanism for Speech Emotion Recognition

In this work, we explore the impact of visual modality in addition to sp...

0 Seunghyun Yoon, et al. ∙

research

∙ 09/12/2019

Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense

Reactive defense mechanisms, such as intrusion detection systems, have m...

0 Jin-Hee Cho, et al. ∙

research

∙ 08/24/2019

Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks

In this study, we propose a novel graph neural network, called propagate...

4 Seunghyun Yoon, et al. ∙

research

∙ 06/19/2019

Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model

While deep learning techniques have shown promising results in many natu...

0 Jiin Nam, et al. ∙

research

∙ 05/30/2019

A Compare-Aggregate Model with Latent Clustering for Answer Selection

In this paper, we propose a novel method for a sentence-level answer-sel...

0 Seunghyun Yoon, et al. ∙

research

∙ 04/23/2019

Speech Emotion Recognition Using Multi-Hop Attention Mechanism

In this paper, we are interested in exploiting textual and acoustic data...

0 Seunghyun Yoon, et al. ∙

research

∙ 11/17/2018

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

Some news headlines mislead readers with overrated or false information,...

0 Seunghyun Yoon, et al. ∙

research

∙ 10/10/2018

Multimodal Speech Emotion Recognition Using Audio and Text

Speech emotion recognition is a challenging task, and extensive reliance...

0 Seunghyun Yoon, et al. ∙

research

∙ 08/30/2018

Comparative Studies of Detecting Abusive Language on Twitter

The context-dependent nature of online aggression makes annotating large...

0 Younghun Lee, et al. ∙

research

∙ 07/18/2018

FRVM: Flexible Random Virtual IP Multiplexing in Software-Defined Networks

Network address shuffling is one of moving target defense (MTD) techniqu...

0 Dilli P. Sharma, et al. ∙

research

∙ 10/10/2017

Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering

In this paper, we propose a novel end-to-end neural architecture for ran...

0 Seunghyun Yoon, et al. ∙

research

∙ 09/29/2017

Synonym Discovery with Etymology-based Word Embeddings

We propose a novel approach to learn word embeddings based on an extende...

0 Seunghyun Yoon, et al. ∙

research

∙ 01/13/2017

Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network

In this paper, we propose an efficient transfer leaning methods for trai...

0 Seunghyun Yoon, et al. ∙

Seunghyun Yoon

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