no code implementations • EMNLP (insights) 2021 • Chanjun Park, Sungjin Park, Seolhwa Lee, Taesun Whang, Heuiseok Lim
In the field of natural language processing, ensembles are broadly known to be effective in improving performance.
2 code implementations • EMNLP (NLP-COVID19) 2020 • Seolhwa Lee, João Sedoc
To combat misinformation regarding COVID- 19 during this unprecedented pandemic, we propose a conversational agent that answers questions related to COVID-19.
1 code implementation • EMNLP (NLP-COVID19) 2020 • Adam Poliak, Max Fleming, Cash Costello, Kenton Murray, Mahsa Yarmohammadi, Shivani Pandya, Darius Irani, Milind Agarwal, Udit Sharma, Shuo Sun, Nicola Ivanov, Lingxi Shang, Kaushik Srinivasan, Seolhwa Lee, Xu Han, Smisha Agarwal, João Sedoc
We release a dataset of over 2, 100 COVID19 related Frequently asked Question-Answer pairs scraped from over 40 trusted websites.
no code implementations • ACL (WAT) 2021 • Chanjun Park, Jaehyung Seo, Seolhwa Lee, Chanhee Lee, Hyeonseok Moon, Sugyeong Eo, Heuiseok Lim
Automatic speech recognition (ASR) is arguably the most critical component of such systems, as errors in speech recognition propagate to the downstream components and drastically degrade the user experience.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • LREC 2022 • Chanjun Park, Seolhwa Lee, Jaehyung Seo, Hyeonseok Moon, Sugyeong Eo, Heuiseok Lim
In recent years, there has been an increasing need for the restoration and translation of historical languages.
no code implementations • LREC 2022 • Hyeonseok Moon, Chanjun Park, Seolhwa Lee, Jaehyung Seo, Jungseob Lee, Sugyeong Eo, Heuiseok Lim
This study has several limitations, considering the data acquisition, because there is no official dataset for most language pairs.
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.
no code implementations • 26 Jan 2024 • SeungYoon Lee, Dahyun Jung, Chanjun Park, Seolhwa Lee, Heuiseok Lim
We introduce the concept of "Alternative Speech" as a new way to directly combat hate speech and complement the limitations of counter-narrative.
no code implementations • 26 Jun 2023 • Chanjun Park, Seonmin Koo, Seolhwa Lee, Jaehyung Seo, Sugyeong Eo, Hyeonseok Moon, Heuiseok Lim
Data-centric AI approach aims to enhance the model performance without modifying the model and has been shown to impact model performance positively.
no code implementations • 31 May 2023 • Ruixiang Cui, Seolhwa Lee, Daniel Hershcovich, Anders Søgaard
Humans can effortlessly understand the coordinate structure of sentences such as "Niels Bohr and Kurt Cobain were born in Copenhagen and Seattle, respectively".
1 code implementation • 25 May 2023 • Seolhwa Lee, Anders Søgaard
Meeting summarization has an enormous business potential, but in addition to being a hard problem, roll-out is challenged by privacy concerns.
1 code implementation • 30 Mar 2023 • Yong Cao, Li Zhou, Seolhwa Lee, Laura Cabello, Min Chen, Daniel Hershcovich
The recent release of ChatGPT has garnered widespread recognition for its exceptional ability to generate human-like responses in dialogue.
no code implementations • 20 Mar 2023 • Chanjun Park, Hyeonseok Moon, Seolhwa Lee, Jaehyung Seo, Sugyeong Eo, Heuiseok Lim
Leaderboard systems allow researchers to objectively evaluate Natural Language Processing (NLP) models and are typically used to identify models that exhibit superior performance on a given task in a predetermined setting.
no code implementations • 8 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.
no code implementations • 30 Oct 2021 • Chanjun Park, Seolhwa Lee, Hyeonseok Moon, Sugyeong Eo, Jaehyung Seo, Heuiseok Lim
This paper proposes a tool for efficiently constructing high-quality parallel corpora with minimizing human labor and making this tool publicly available.
no code implementations • 28 Oct 2021 • Chanjun Park, Midan Shim, Sugyeong Eo, Seolhwa Lee, Jaehyung Seo, Hyeonseok Moon, Heuiseok Lim
To the best of our knowledge, this study is the first to use LIWC to analyze parallel corpora in the field of NMT.
no code implementations • 29 Sep 2021 • Seolhwa Lee, Kisu Yang, Chanjun Park, João Sedoc, Heuiseok Lim
To the best of our knowledge, our approach is the first method to apply multi-task learning to the dialogue summarization task.
no code implementations • 27 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.
no code implementations • 24 Oct 2020 • Seolhwa Lee, Heuiseok Lim, João Sedoc
These findings demonstrate the feasibility of our protocol to evaluate conversational agents and evaluation sets.
2 code implementations • 27 Jun 2019 • Kisu Yang, Dongyub Lee, Taesun Whang, Seolhwa Lee, Heuiseok Lim
We propose a contextual emotion classifier based on a transferable language model and dynamic max pooling, which predicts the emotion of each utterance in a dialogue.