Search Results for author:
Found 7 papers, 3 papers with code
基于中文电子病历知识图谱的实体对齐研究(Research on Entity Alignment Based on Knowledge Graph of Chinese Electronic Medical Record)
“医疗知识图谱中知识重叠和互补的现象普遍存在, 利用实体对齐进行医疗知识图谱融合成为迫切需要。然而据我们调研, 目前医疗领域中的实体对齐尚没有一个完整的处理方案。因此本文提出了一个规范的基于中文电子病历的医疗知识图谱实体对齐流程, 为医疗领域的实体对齐提供了一种可行的方案。同时针对基于中文电子病历医疗知识图谱之间结构异构性的特点, 设计了一个双视角并行图神经网络丨乄乵乐乎乥乴丩模型用于解决医疗领域实体对齐, 并取得较好的效果。”
PromptCL: Improving Event Representation via Prompt Template and Contrastive Learning
However, the efficacy of event representation learning based on contrastive learning and PLMs is limited by the short length of event texts.
Document-level Biomedical Relation Extraction Based on Multi-Dimensional Fusion Information and Multi-Granularity Logical Reasoning
In this paper, we propose a novel Bio-DocuRE model called FILR, based on Multi-Dimensional Fusion Information and Multi-Granularity Logical Reasoning.
Hierarchical Attention Based Position-Aware Network for Aspect-Level Sentiment Analysis
Aspect-level sentiment analysis aims to identify the sentiment of a specific target in its context.
Aspect-Based Sentiment Analysis (ABSA)
Feature Engineering
+2
