Motivation Most of the conventional deep neural network-based methods for drug–drug
interaction (DDI) extraction consider only context information around drug mentions in the …

In recent years, sentiment analysis has emerged as a prominent area of research within the
field of natural language processing. Particularly, aspect-level sentiment classification has …

Aspect-level sentiment analysis aims to identify the sentiment polarity of one or more aspect
terms in a sentence. At present, many researchers have applied dependency trees and …

知识图谱是一种以图谱形式描述客观世界中存在的各种实体, 概念及其关系的技术,
广泛应用于智能搜索, 自动问答和决策支持等领域. 可视分析技术可以将抽象的知识图谱映射为 …

Synergistic drug combination prediction tasks based on the computational models have
been widely studied and applied in the cancer field. However, most of models only consider …

In recent years, sentiment analysis in the field of natural language processing has garnered
increasing attention from researchers. Aspect-level sentiment classification is a fine-grained …

The development of deep neural networks has improved representation learning in various
domains, including textual, graph structural, and relational triple representations. This …

Aspect-level sentiment classification is a fine-grained sentiment analysis that primarily
focuses on predicting the sentiment polarity of aspects within a sentence. At present, many …

Acknowledging the leadership of Wagner (2020) and her insightful comments on the three
critical challenges to the community of Research Policy and Strategic Management, ie …

In the current era of the advancing medical domain and the ever-evolving use of technology
in fields of pharmaceutical research, remote monitoring, and decision support systems in …