[HTML][HTML] Estimating patient satisfaction through a language processing model: model development and evaluation

S Matsuda, T Ohtomo, M Okuyama… - JMIR Formative …, 2023 - formative.jmir.org
Background Measuring patient satisfaction is a crucial aspect of medical care. Advanced
natural language processing (NLP) techniques enable the extraction and analysis of high …

Study of Natural Language Dialog System for Avatar Communication in Metaverse

H Suga, D Fujishima, Y Ishii, Y Ogai… - … on Mixed and …, 2023 - ieeexplore.ieee.org
Communication between humans and avatars will increase in the Metaverse, and the quality
of that conversation will be important. Natural language communication of man-machine …

Cross-domain analysis on Japanese legal pretrained language models

K Miyazaki, H Yamada, T Tokunaga - Findings of the Association …, 2022 - aclanthology.org
This paper investigates the pretrained language model (PLM) specialised in the Japanese
legal domain. We create PLMs using different pretraining strategies and investigate their …

Learning a Bimodal Emotion Recognition System Based on Small Amount of Speech Data

J Furutani, X Kang, K Kiuchi… - … on Systems and …, 2022 - ieeexplore.ieee.org
This paper presents a bimodal emotion recognition system based on the voice and text
information using small amount of speech data. Specifically, speech is divided into voice …

Joint Model Using Character and Word Embeddings for Detecting Internet Slang Words

Y Liu, Y Seki - Towards Open and Trustworthy Digital Societies: 23rd …, 2021 - Springer
The language style on social media platforms is informal and many Internet slang words are
used. The presence of such out-of-vocabulary words significantly degrades the performance …

Study of natural language communication with avatar in virtual space

H Suga, D Fujishima, Y Ishii, Y Ogai, T Nagae… - International Journal of …, 2024 - Springer
Artificial reality, stemming from telexistence, is evolving into the virtual spaces, emphasizing
user interaction across language, multimodal, multitask, and embedded interactions, as well …

Natural language processing algorithms for divergent thinking assessment

H Lee, W Zhou, HH Bai, W Meng, T Zeng… - 2023 ieee 6th …, 2023 - ieeexplore.ieee.org
The manual assessment of creativity by human raters is coupled with unavoidable
subjectivity and often costs much time and human resources. To address these issues, this …

How Domain Adaptation of BERT Improves Syntactic Parsing of Math Text

R Yoshida, T Matsuzaki - Journal of Natural Language Processing, 2024 - jstage.jst.go.jp
This study clarifies how the domain adaptation of bidirectional encoder representations from
transformers (BERT) contributes to the syntactic analysis of mathematical texts and their …

Effective Language Representations for Danmaku Comment Classification in Nicovideo

H Nagao, K Tamura, M Katsurai - IEICE TRANSACTIONS on …, 2023 - search.ieice.org
Danmaku commenting has become popular for co-viewing on video-sharing platforms, such
as Nicovideo. However, many irrelevant comments usually contaminate the quality of the …

Estimating Semantic Relationships between Sentences Using Word Embedding with BERT

R Kaneda, M Okada, N Mori - 2021 10th International …, 2021 - ieeexplore.ieee.org
In this study, we focus on conjunctions between sentences to estimate the semantic relations
between sentences. As a method for estimating the types of hidden conjunctions, we …