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Nguyen, Congdu;Le, Minh Tuan;Yoon, Dae-Il;Kim, Hae-Kwang
- Journal of Ubiquitous Convergence Technology
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- v.1 no.1
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- pp.47-52
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- 2007
In this paper, we present a virtual tourist system with realtime 3D visualization and the assistance of context information service. Our system enables a visitor to take a discovering tour on a virtual environment from a remote client by following navigator or by self-navigating. During the tour, the system provides immersive 3D graphics contents while supporting relevant information to the visitors corresponding to their positions in the virtual environment. When the visitors interact with interested objects, the context information service will also support introduction information for presenting about the objects. The introduction information based on text format is represented by a comfortable way-audio conversion to visitors in different languages depended on their preferences using TTS(Text-To-Speak) tool.
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Marvin John Ignacio;Thanh Tin Nguyen;Jia Wang;Yong-Guk Kim
- Proceedings of the Korea Information Processing Society Conference
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- 2023.11a
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- pp.628-631
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- 2023
We present a new approach to evaluate the generated texts by Large Language Models (LLMs) for meme classification. Analyzing an image with embedded texts, i.e. meme, is challenging, even for existing state-of-the-art computer vision models. By leveraging large image-to-text models, we can extract image descriptions that can be used in other tasks, such as classification. In our methodology, we first generate image captions using BLIP-2 models. Using these captions, we use GPT-4 to evaluate the relationship between the caption and the meme text. The results show that OPT_6.7B provides a better rating than other LLMs, suggesting that the proposed method has a potential for meme classification.
https://doi.org/10.3745/PKIPS.y2023m11a.628 인용 PDF

Kim, Jin-young-;Kang, Young-Woon;Zhang, Rong-xian;Zhang, Ji-tong;Zhang, Xiao-bin
- Bulletin of the Korean Space Science Society
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- 1993.04a
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- pp.9-9
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- 1993
No Abstract. See Full-text
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Kim, Hakdong;Go, Myunghyun;Lim, Heonyeong;Lee, Yurim;Jee, Minkyu;Kim, Wonil
- Journal of Broadcast Engineering
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- v.24 no.1
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- pp.48-57
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- 2019
The purpose of this study is to understand the intention of the inquirer from the single text type question in Goal-oriented dialogue. Goal-Oriented Dialogue system means a dialogue system that satisfies the user's specific needs via text or voice. The intention analysis process is a step of analysing the user's intention of inquiry prior to the answer generation, and has a great influence on the performance of the entire Goal-Oriented Dialogue system. The proposed model was used for a daily chemical products domain and Korean text data related to the domain was used. The analysis is divided into a speech-act which means independent on a specific field concept-sequence and which means depend on a specific field. We propose a classification method using the word embedding model and the CNN as a method for analyzing speech-act and concept-sequence. The semantic information of the word is abstracted through the word embedding model, and concept-sequence and speech-act classification are performed through the CNN based on the semantic information of the abstract word.
https://doi.org/10.5909/JBE.2019.24.1.48 인용 PDF KSCI KPUBS HTML