Search Results - "Shin, Youhyun"

Multi-Encoder Transformer for Korean Abstractive Text Summarization by Shin, Youhyun

“…In this paper, we propose a Korean abstractive text summarization approach that uses a multi-encoder transformer. Recently, in many natural language processing…”
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Tooee: A Novel Scratch Extension for K-12 Big Data and Artificial Intelligence Education Using Text-Based Visual Blocks by Park, Youngki, Shin, Youhyun

“…Many approaches have been proposed to teach the basic concepts of big data and artificial intelligence to K-12 students based on block-based programming…”
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Adaptive Bi-Encoder Model Selection and Ensemble for Text Classification by Park, Youngki, Shin, Youhyun

“…Can bi-encoders, without additional fine-tuning, achieve a performance comparable to fine-tuned BERT models in classification tasks? To answer this question,…”
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A Block-Based Interactive Programming Environment for Large-Scale Machine Learning Education by Park, Youngki, Shin, Youhyun

“…The existing block-based machine learning educational environments have a drawback in that they do not support model training based on large-scale data. This…”
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Applying Object Detection and Embedding Techniques to One-Shot Class-Incremental Multi-Label Image Classification by Park, Youngki, Shin, Youhyun

“…In this paper, we introduce an efficient approach to multi-label image classification that is particularly suited for scenarios requiring rapid adaptation to…”
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Text Processing Education Using a Block-based Programming Language by Park, Youngki, Shin, Youhyun

“…In this paper, we present a novel approach to teach text processing for primary and secondary school students using a block-based programming language such as…”
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Using Multiple Monolingual Models for Efficiently Embedding Korean and English Conversational Sentences by Park, Youngki, Shin, Youhyun

“…This paper presents a novel approach for finding the most semantically similar conversational sentences in Korean and English. Our method involves training…”
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Gradual OCR: An Effective OCR Approach Based on Gradual Detection of Texts by Park, Youngki, Shin, Youhyun

“…In this paper, we present a novel approach to optical character recognition that incorporates various supplementary techniques, including the gradual detection…”
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An Efficient Document Retrieval for Korean Open-Domain Question Answering Based on ColBERT by Kang, Byungha, Kim, Yeonghwa, Shin, Youhyun

“…Open-domain question answering requires the task of retrieving documents with high relevance to the query from a large-scale corpus. Deep learning-based dense…”
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Consensus Similarity Measure for Short Text Clustering by Shin, Youhyun, Ahn, Yeonchan, Jeon, Heesik, Lee, Sang-goo

“…Measuring semantic similarity between short texts is challenging because the meaning of short texts may vary dramatically even by a few words due to their…”
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Utterance Generation With Variational Auto-Encoder for Slot Filling in Spoken Language Understanding by Shin, Youhyun, Yoo, Kang Min, Lee, Sang-Goo

“…Slot filling must be trained using human-labeled data that are expensive and only a limited amount of labeled utterances are readily available for learning…”
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Improving the integrated experience of in-class activities and fine-grained data collection for analysis in a blended learning class by Shin, Youhyun, Park, Junghyuk, Lee, Sang-goo

“…Blended learning has steadily gained in popularity at the higher levels of education. This marks a change in pedagogical approaches from one-directional…”
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Learning Context Using Segment-Level LSTM for Neural Sequence Labeling by Shin, Youhyun, Lee, Sang-goo

“…This article introduces an approach that learns segment-level context for sequence labeling in natural language processing (NLP). Previous approaches limit…”
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Data Augmentation for Spoken Language Understanding via Joint Variational Generation by Yoo, Kang Min, Shin, Youhyun, Lee, Sang-goo

“…Data scarcity is one of the main obstacles of domain adaptation in spoken language understanding (SLU) due to the high cost of creating manually tagged SLU…”
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Improving Visually Grounded Sentence Representations with Self-Attention by Yoo, Kang Min, Shin, Youhyun, Lee, Sang-goo

“…Sentence representation models trained only on language could potentially suffer from the grounding problem. Recent work has shown promising results in…”
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