Yunsu Kim | DeepAI

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∙ 05/26/2023

Prompt- and Trait Relation-aware Cross-prompt Essay Trait Scoring

Automated essay scoring (AES) aims to score essays written for a given p...

0 Heejin Do, et al. ∙

∙ 05/26/2023

Score-balanced Loss for Multi-aspect Pronunciation Assessment

With rapid technological growth, automatic pronunciation assessment has ...

0 Heejin Do, et al. ∙

∙ 05/17/2023

Bring More Attention to Syntactic Symmetry for Automatic Postediting of High-Quality Machine Translations

Automatic postediting (APE) is an automated process to refine a given ma...

0 Baikjin Jung, et al. ∙

∙ 03/17/2023

DORIC : Domain Robust Fine-Tuning for Open Intent Clustering through Dependency Parsing

We present our work on Track 2 in the Dialog System Technology Challenge...

0 Jihyun Lee, et al. ∙

∙ 11/17/2022

Self-Training with Purpose Preserving Augmentation Improves Few-shot Generative Dialogue State Tracking

In dialogue state tracking (DST), labeling the dataset involves consider...

0 Jihyun Lee, et al. ∙

∙ 11/15/2022

Hierarchical Pronunciation Assessment with Multi-Aspect Attention

Automatic pronunciation assessment is a major component of a computer-as...

0 Heejin Do, et al. ∙

∙ 10/24/2022

Multi-Type Conversational Question-Answer Generation with Closed-ended and Unanswerable Questions

Conversational question answering (CQA) facilitates an incremental and i...

0 Seonjeong Hwang, et al. ∙

∙ 04/22/2020

When and Why is Unsupervised Neural Machine Translation Useless?

This paper studies the practicality of the current state-of-the-art unsu...

0 Yunsu Kim, et al. ∙

∙ 10/01/2019

When and Why is Document-level Context Useful in Neural Machine Translation?

Document-level context has received lots of attention for compensating n...

0 Yunsu Kim, et al. ∙

∙ 09/20/2019

Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages

We present effective pre-training strategies for neural machine translat...

0 Yunsu Kim, et al. ∙

∙ 06/17/2019

Generalizing Back-Translation in Neural Machine Translation

Back-translation - data augmentation by translating target monolingual d...

0 Miguel Graça, et al. ∙

∙ 06/05/2019

Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron

We propose a novel model architecture and training algorithm to learn bi...

0 Yunsu Kim, et al. ∙

∙ 05/14/2019

Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies

Transfer learning or multilingual model is essential for low-resource ne...

0 Yunsu Kim, et al. ∙

∙ 01/06/2019

Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder

Unsupervised learning of cross-lingual word embedding offers elegant mat...

0 Yunsu Kim, et al. ∙

∙ 01/06/2019

Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes

We address for the first time unsupervised training for a translation ta...

0 Yunsu Kim, et al. ∙

∙ 01/06/2019

A Comparative Study on Vocabulary Reduction for Phrase Table Smoothing

This work systematically analyzes the smoothing effect of vocabulary red...

0 Yunsu Kim, et al. ∙

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