A New Method for Graph-Based Representation of Text in Natural Language Processing
B Probierz, A Hrabia, J Kozak - Electronics, 2023 - mdpi.com
Natural language processing is still an emerging field in machine learning. Access to more
and more data sets in textual form, new applications for artificial intelligence and the need …
and more data sets in textual form, new applications for artificial intelligence and the need …
Improved Evaluation Metrics for Sentence Suggestions in Nursing and Elderly Care Record Applications
This paper presents a new approach called EmbedHDP, which aims to enhance the
evaluation models utilized for assessing sentence suggestions in nursing care record …
evaluation models utilized for assessing sentence suggestions in nursing care record …
Harvesting Natural Disaster Reports from Social Media with 1D Convolutional Neural Network and Long Short-Term Memory
The employment of social media platforms is progressively assuming pivotal roles in natural
disaster management as early warning and monitoring systems. In emergencies, social …
disaster management as early warning and monitoring systems. In emergencies, social …
[HTML][HTML] Ancient Text Translation Model Optimized with GujiBERT and Entropy-SkipBERT
F Yu, R Han, Y Zhang, Y Han - Electronics, 2024 - mdpi.com
To cope with the challenges posed by the complex linguistic structure and lexical polysemy
in ancient texts, this study proposes a two-stage translation model. First, we combine …
in ancient texts, this study proposes a two-stage translation model. First, we combine …
Relevant Phrase Generation for Language Learners
E Lidholm, D Pinti - 2023 - odr.chalmers.se
Sammanfattning In recent times Artificial Intelligence, Natural Language Processing (NLP)
especially, has spread widely. Nowadays, most people use it, either directly or indirectly …
especially, has spread widely. Nowadays, most people use it, either directly or indirectly …
Relevant Phrase Generation for Language Learners
D Pinti - 2023 - webthesis.biblio.polito.it
In recent times Artificial Intelligence, Natural Language Processing (NLP) especially, has
spread widely. Nowadays, most people use it, either directly or indirectly, and you can find it …
spread widely. Nowadays, most people use it, either directly or indirectly, and you can find it …
The Development of Evaluation Metrics for Sentence Suggestion in Nursing and Elderly Care Record Application
D Hamdhana - 2024 - kyutech.repo.nii.ac.jp
This thesis proposes a novel metrics evaluation framework for assessing the quality of
sentence suggestions generated by a model in nursing care record applications. The …
sentence suggestions generated by a model in nursing care record applications. The …
Performance Comparison of Automatic Classification Using Word Embeddings of Book Titles
YG Lee - Journal of the Korean Society for information …, 2023 - koreascience.kr
To analyze the impact of word embedding on book titles, this study utilized word embedding
models (Word2vec, GloVe, fastText) to generate embedding vectors from book titles. These …
models (Word2vec, GloVe, fastText) to generate embedding vectors from book titles. These …