Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA

More but Correct: Generating Diversified and Entity-revised Medical Response

Medical Dialogue Generation (MDG) is intended to build a medical dialogue system for intelligent consultation, which can communicate with patients in real-time, thereby improving the efficiency of clinical diagnosis with broad application prospects. This paper presents our proposed framework for the Chinese MDG organized by the 2021 China conference on knowledge graph and semantic computing (CCKS) competition, which requires generating context-consistent and medically meaningful responses conditioned on the dialogue history. In our framework, we propose a pipeline system composed of entity pre…

SEBERTNets：面向金融领域事件实体抽取任务的序列增强 BERT 网络

SEBERTNets: Sequence Enhanced BERT Networks for Event Entity Extraction Tasks Oriented to the Finance Field

针对金融领域事件实体抽取，本文提出可捕获序列语义的 SEBERTNets，并结合多通道召回设计 HSEBERTNets，在 CCKS 评测第一阶段分别取得 0.905 和 0.934 的 F1 分数。

MDistMult: A Multiple Scoring Functions Model for Link Prediction on Antiviral Drugs Knowledge Graph

Knowledge graphs (KGs) on COVID-19 have been constructed to accelerate the research process of COVID-19. However, KGs are always incomplete, especially the new constructed COVID-19 KGs. Link prediction task aims to predict missing entities for (e, r, t) or (h, r, e), where h and t are certain entities, e is an entity that needs to be predicted and r is a relation. This task also has the potential to solve COVID-19 related KGs' incomplete problem. Although various knowledge graph embedding (KGE) approaches have been proposed to the link prediction task, these existing methods suffer from the li…

Overview of STEM Science as Process, Method, Material, and Data Named Entities

We are faced with an unprecedented production in scholarly publications worldwide. Stakeholders in the digital libraries posit that the document-based publishing paradigm has reached the limits of adequacy. Instead, structured, machine-interpretable, fine-grained scholarly knowledge publishing as Knowledge Graphs (KG) is strongly advocated. In this work, we develop and analyze a large-scale structured dataset of STEM articles across 10 different disciplines, viz. Agriculture, Astronomy, Biology, Chemistry, Computer Science, Earth Science, Engineering, Material Science, Mathematics, and Medicin…

命名实体识别综合综述：模型、特定领域应用与挑战

Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges

本文系统综述NER从规则方法到transformer及BERT融合架构的演进，梳理金融、法律、医疗等领域应用与强化学习、E-NER、OCR等方向，并总结开放挑战。

HIPE-2026 概述：从多语言历史文本中提取人物-地点关系

Overview of HIPE-2026: Person-Place Relation Extraction from Multilingual Historical Texts

提出HIPE-2026评测任务，针对多语言历史文档中的人物-地点关系（at和isAt）进行提取，采用三方面评估框架，比较了多种方法在准确性、效率和跨域泛化上的表现。