Automatically learning linguistic structures for entity relation extraction

W Yang, Y Chen, J Xu, Y Qin, P Chen - Information Processing & …, 2025 - Elsevier
A sentence is composed of linguistically linked units, such as words or phrases. The
dependencies between them compose the linguistic structures of a sentence, which …

[HTML][HTML] Fake sentence detection based on transfer learning: applying to Korean COVID-19 fake news

JW Lee, JH Kim - Applied Sciences, 2022 - mdpi.com
With the increasing number of social media users in recent years, news in various fields,
such as politics, economics, and so on, can be easily accessed by users. However, most …

Zero-shot relation triple extraction with prompts for low-resource languages

A Halike, A Wumaier, T Yibulayin - Applied Sciences, 2023 - mdpi.com
Although low-resource relation extraction is vital in knowledge construction and
characterization, more research is needed on the generalization of unknown relation types …

[HTML][HTML] Prompt language learner with trigger generation for dialogue relation extraction

J Kim, G Kim, J Son, H Lim - Applied Sciences, 2023 - mdpi.com
Dialogue relation extraction identifies semantic relations between entity pairs in dialogues.
This research explores a methodology harnessing the potential of prompt-based fine-tuning …

[HTML][HTML] Intent classification and slot filling model for in-vehicle services in Korean

J Lim, S Son, S Lee, C Chun, S Park, Y Hur, H Lim - Applied Sciences, 2022 - mdpi.com
Since understanding a user's request has become a critical task for the artificial intelligence
speakers, capturing intents and finding correct slots along with corresponding slot value is …

A large-scale dataset for korean document-level relation extraction from encyclopedia texts

S Son, J Lim, S Koo, J Kim, Y Kim, Y Lim, D Hyun… - Applied …, 2024 - Springer
Document-level relation extraction (RE) aims to predict the relational facts between two
given entities from a document. Unlike widespread research on document-level RE in …

An analysis on language transfer of pre-trained language model with cross-lingual post-training

S Son, C Park, J Lee, M Shim, C Lee, Y Jang… - Expert Systems with …, 2025 - Elsevier
As recent pre-trained language models require enormous corpus and resources, an
inequality between rich-resource languages and scarce-resource languages has become …

Text implicates prosodic ambiguity: A corpus for intention identification of the korean spoken language

WI Cho, NS Kim - ACM Transactions on Asian and Low-Resource …, 2022 - dl.acm.org
Phonetic features are indispensable in understanding the spoken language. Especially in
Korean, which is wh-in-situ and head-final, the addressee of spoken language sometimes …

A Conversational Social Robot for Detecting Emotions Through Drawing Journal Activity

DY Kim, J Kim, H Yoon, J Lee… - 2023 20th International …, 2023 - ieeexplore.ieee.org
This study proposes a conversational social robot with a drawing journal activity that can
express children's subjective and honest thoughts and emotions through drawing. The robot …

Optimization of Carbon Dioxide Dense Phase Injection Model Based on DBN Deep Learning Algorithm.

J Zhou, D Wang, T **g, Z Liu… - International Journal of …, 2024 - search.ebscohost.com
Carbon dioxide dense phase injection images have providing new research ideas for
differential detection. Aiming at the drawbacks of large data volume, low matching efficiency …