Search Results for author: Jinsung Kim

Found 8 papers, 4 papers with code

Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks

1 code implementation11 Jun 2023 Sugyeong Eo, Hyeonseok Moon, Jinsung Kim, Yuna Hur, Jeongwook Kim, Songeun Lee, Changwoo Chun, Sungsoo Park, Heuiseok Lim

In this paper, we propose a QAG framework that enhances QA type diversity by producing different interrogative sentences and implicit/explicit answers.


KoCHET: a Korean Cultural Heritage corpus for Entity-related Tasks

1 code implementation COLING 2022 Gyeongmin Kim, Jinsung Kim, Junyoung Son, Heuiseok Lim

As digitized traditional cultural heritage documents have rapidly increased, resulting in an increased need for preservation and management, practical recognition of entities and typification of their classes has become essential.

Entity Typing Management +4

GRASP: Guiding model with RelAtional Semantics using Prompt for Dialogue Relation Extraction

1 code implementation COLING 2022 Junyoung Son, Jinsung Kim, Jungwoo Lim, Heuiseok Lim

To effectively exploit inherent knowledge of PLMs without extra layers and consider scattered semantic cues on the relation between the arguments, we propose a Guiding model with RelAtional Semantics using Prompt (GRASP).

Dialog Relation Extraction Emotion Recognition in Conversation +1

Learning source-aware representations of music in a discrete latent space

no code implementations26 Nov 2021 Jinsung Kim, Yeong-Seok Jeong, Woosung Choi, Jaehwa Chung, Soonyoung Jung

To address this issue, we propose a novel method to learn source-awarelatent representations of music through Vector-Quantized Variational Auto-Encoder(VQ-VAE). We train our VQ-VAE to encode an input mixture into a tensor of integers in a discrete latentspace, and design them to have a decomposed structure which allows humans to manipulatethe latent vector in a source-aware manner.

LightSAFT: Lightweight Latent Source Aware Frequency Transform for Source Separation

no code implementations24 Nov 2021 Yeong-Seok Jeong, Jinsung Kim, Woosung Choi, Jaehwa Chung, Soonyoung Jung

Conditioned source separations have attracted significant attention because of their flexibility, applicability and extensionality.

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