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CCKS 2021 - Evaluation Track: 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, Guangzhou, China, December 25-26, 2021, Revised Selected Papers 1st ed. 2022 [Pehme köide]

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  • Formaat: Paperback / softback, 162 pages, kõrgus x laius: 235x155 mm, kaal: 273 g, 45 Illustrations, color; 18 Illustrations, black and white; X, 162 p. 63 illus., 45 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 1553
  • Ilmumisaeg: 12-Mar-2022
  • Kirjastus: Springer Nature
  • ISBN-10: 9811907129
  • ISBN-13: 9789811907128
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CCKS 2021 - Evaluation Track: 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, Guangzhou, China, December 25-26, 2021, Revised Selected Papers 1st ed. 2022Suurem pilt
  • Formaat: Paperback / softback, 162 pages, kõrgus x laius: 235x155 mm, kaal: 273 g, 45 Illustrations, color; 18 Illustrations, black and white; X, 162 p. 63 illus., 45 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 1553
  • Ilmumisaeg: 12-Mar-2022
  • Kirjastus: Springer Nature
  • ISBN-10: 9811907129
  • ISBN-13: 9789811907128
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789811907128.html
Märksõnad:
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.
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.