In addressing the imbalanced issue of data within the realm of Natural Language
Processing, text data augmentation methods have emerged as pivotal solutions. This data …

The existing methods for document-level event extraction mainly face two challenges. The
first challenge is effectively capturing event information that spans across sentences. The …

Geoscience knowledge graph (GKG) can organize various geoscience knowledge into a
machine understandable and computable semantic network and is an effective way to …

Automatic disease diagnosis from symptoms has attracted much attention in medical
practices. It can assist doctors and medical practitioners in narrowing down disease …

We construct a spacecraft performance-fault relationship graph of the control system, which
can help space robots locate and repair spacecraft faults quickly. In order to improve the …

The knowledge graph is one of the essential infrastructures of artificial intelligence. It is a
challenge for knowledge engineering to construct a high-quality domain knowledge graph …

A knowledge graph is a visual method that can display the information contained in the
knowledge points, core structure, and comprehensive knowledge structure technology. In …

针对省内多维多源的各类科技数据存量大增量多, 来源广, 类型杂, 数据存储分散等问题,
提出基于产业专题知识库的科技大数据整合应用建设需求, 本文从建设目标 …

This article introduces the data-driven management system named the NEW ARP
(Academia Resource Planning) for CAS (Chinese Academy of Science) researchers. It …

Reservoir landslides occur frequently in the Three Gorges Reservoir area. Predicting the
deformation of the landslides is an important measure to reduce the risk. This paper …