过去一年中添加的文章，按日期排序
MICRank: Multi-information interconstrained keyphrase extraction
R Bai, X Zhuang, Y Yan - Expert Systems with Applications, 2024 - Elsevier
99 天前 - … clustering, and text classification. Embedding-based methods for keyphrase extraction
… pre-trained language models to represent candidate phrases and documents separately. …
… pre-trained language models to represent candidate phrases and documents separately. …
[HTML][HTML] Graph embedding approaches for social media sentiment analysis with model explanation
VS Anoop, CS Krishna, UH Govindarajan - International Journal of …, 2024 - Elsevier
125 天前 - … models. This paper also publishes our labeled dataset for other researchers to use
and train advanced classification models. … , the proposed graph embedding-based machine …
and train advanced classification models. … , the proposed graph embedding-based machine …
An Unsupervised Clinical Acronym Disambiguation Method Based on Pretrained Language Model
S Wei, C Yuan, Z Li, H Wang - China Health Information Processing …, 2023 - Springer
249 天前 - … To address this issue, our objective is to propose an unsupervised learning
approach … , b) embedding-based semantic similarity calculation , and c) candidate ranking and …
approach … , b) embedding-based semantic similarity calculation , and c) candidate ranking and …
Improving diversity in unsupervised keyphrase extraction with determinantal point process
255 天前 - … issue, we propose a novel re-ranking strategy based on the determinantal point
processes for embeddingbased … that our model outperforms traditional and embedding-based …
processes for embeddingbased … that our model outperforms traditional and embedding-based …