CCKS 2021 - Evaluation Track [electronic resource] : 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, Guangzhou, China, December 25-26, 2021, Revised Selected Papers /

A Biaffine Attention-based Approach for Event Factor Extraction -- A Classification Approach of Scholar Structured Information Extraction from HTML Web Pages -- A Dual-classifier Model for General Fine-grained Event Detection Task -- A Joint Training Framework Based on Adversarial Perturbation For Video Semantic Tags Classification -- A Multi-Modal System for Video Semantic Understanding -- An Integrated Method of Semantic Parsing and Information Retrieval for Knowledge Base Question Answering -- Basic Profiling Extraction Based on XGBoost -- Data Augmentation based on Pre-trained Language Model for Event Detection -- Does BERT know Which Answer Beyond the Question? -- End-to-End Pre-trained Dialogue System for Automatic Diagnosis -- Enhance both Text and Label: Combination Strategies for Improving the Generalization Ability of Medical Entity Extraction -- Knowledge-Enhanced Retrieval: A Scheme for Question Answering -- Multi-LabelFine-grained Entity Typing for Baidu Wikipedia based on Pre-trained model -- Multi-Strategies Integrated Information Extraction for Scholar Profiling Task -- Named Entity Recognition and Event Extraction in Chinese Electronic Medical Records -- Strategies for Enhancing Generalization Ability of Communication Event Co-reference Resolution -- Unmanned Aerial Vehicle Knowledge Graph Construction with SpERT.

This volume constitutes papers presented at the Evaluation Track of the 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, held in Guangzhou, China, in December 2021. The 17 competition papers went through a rigorious peer review and were accepted for publication. CCKS 2021 technology evaluation track aims to provide researchers with platforms and resources for testing knowledge and semantic computing technologies, algorithms and systems, promote the technical development in the field of domestic knowledge, and the integration of academic achievements and industrial needs.