Search Results for author: Yoonna Jang

Found 10 papers, 3 papers with code

A Dog Is Passing Over The Jet? A Text-Generation Dataset for Korean Commonsense Reasoning and Evaluation

no code implementations Findings (NAACL) 2022 Jaehyung Seo, Seounghoon Lee, Chanjun Park, Yoonna Jang, Hyeonseok Moon, Sugyeong Eo, Seonmin Koo, Heuiseok Lim

However, Korean pretrained language models still struggle to generate a short sentence with a given condition based on compositionality and commonsense reasoning (i. e., generative commonsense reasoning).

Language Modelling Natural Language Understanding +2

FreeTalky: Don’t Be Afraid! Conversations Made Easier by a Humanoid Robot using Persona-based Dialogue

no code implementations LREC 2022 Chanjun Park, Yoonna Jang, Seolhwa Lee, Sungjin Park, Heuiseok Lim

We propose a deep learning-based foreign language learning platform, named FreeTalky, for people who experience anxiety dealing with foreign languages, by employing a humanoid robot NAO and various deep learning models.

KoBigBird-large: Transformation of Transformer for Korean Language Understanding

no code implementations19 Sep 2023 Kisu Yang, Yoonna Jang, Taewoo Lee, Jinwoo Seong, Hyungjin Lee, Hwanseok Jang, Heuiseok Lim

This work presents KoBigBird-large, a large size of Korean BigBird that achieves state-of-the-art performance and allows long sequence processing for Korean language understanding.

Document Classification Question Answering

Analysis of Utterance Embeddings and Clustering Methods Related to Intent Induction for Task-Oriented Dialogue

1 code implementation5 Dec 2022 Jeiyoon Park, Yoonna Jang, Chanhee Lee, Heuiseok Lim

The focus of this work is to investigate unsupervised approaches to overcome quintessential challenges in designing task-oriented dialog schema: assigning intent labels to each dialog turn (intent clustering) and generating a set of intents based on the intent clustering methods (intent induction).

Clustering

Language Chameleon: Transformation analysis between languages using Cross-lingual Post-training based on Pre-trained language models

no code implementations14 Sep 2022 Suhyune Son, Chanjun Park, Jungseob Lee, Midan Shim, Chanhee Lee, Yoonna Jang, Jaehyung Seo, Heuiseok Lim

This can be attributed to the fact that the amount of available training data in each language follows the power-law distribution, and most of the languages belong to the long tail of the distribution.

Cross-Lingual Transfer Transfer Learning

Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge

2 code implementations16 Dec 2021 Yoonna Jang, Jungwoo Lim, Yuna Hur, Dongsuk Oh, Suhyune Son, Yeonsoo Lee, Donghoon Shin, Seungryong Kim, Heuiseok Lim

Humans usually have conversations by making use of prior knowledge about a topic and background information of the people whom they are talking to.

FreeTalky: Don't Be Afraid! Conversations Made Easier by a Humanoid Robot using Persona-based Dialogue

no code implementations8 Dec 2021 Chanjun Park, Yoonna Jang, Seolhwa Lee, Sungjin Park, Heuiseok Lim

We propose a deep learning-based foreign language learning platform, named FreeTalky, for people who experience anxiety dealing with foreign languages, by employing a humanoid robot NAO and various deep learning models.

PicTalky: Augmentative and Alternative Communication Software for Language Developmental Disabilities

no code implementations27 Sep 2021 Chanjun Park, Yoonna Jang, Seolhwa Lee, Jaehyung Seo, Kisu Yang, Heuiseok Lim

In this study, we propose PicTalky, which is an AI-based AAC system that helps children with language developmental disabilities to improve their communication skills and language comprehension abilities.

I Know What You Asked: Graph Path Learning using AMR for Commonsense Reasoning

no code implementations COLING 2020 Jungwoo Lim, Dongsuk Oh, Yoonna Jang, Kisu Yang, Heuiseok Lim

CommonsenseQA is a task in which a correct answer is predicted through commonsense reasoning with pre-defined knowledge.

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