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CCKS 2022 - evaluation track : 7th China Conference on Knowledge Graph and Semantic Computing Evaluations, CCKS 2022, Qinhuangdao, China, August 24-27, 2022, revised selected papers / / Ningyu Zhang [and four others] editors
| CCKS 2022 - evaluation track : 7th China Conference on Knowledge Graph and Semantic Computing Evaluations, CCKS 2022, Qinhuangdao, China, August 24-27, 2022, revised selected papers / / Ningyu Zhang [and four others] editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (249 pages) |
| Disciplina | 006.332 |
| Collana | Communications in computer and information science |
| Soggetto topico |
Knowledge representation (Information theory)
Semantic computing |
| ISBN | 981-19-8300-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- A Chemical Domain Knowledge-Aware Framework for Multi-view Molecular Property Prediction -- 1 Introduction -- 2 Related Work -- 2.1 Supervised MRL -- 2.2 Self-supervised MRL -- 2.3 Domain Knowledge Based MRL -- 3 Our Approach -- 3.1 KPGT -- 3.2 Functional Group Embedding -- 3.3 Knowledge Graph Embedding -- 4 Experiments -- 4.1 Dataset -- 4.2 Parameter Settings -- 4.3 Results -- 4.4 Discussion -- 5 Conclusion -- References -- A Coarse Pipeline to Solve Hierarchical Multi-answer Questions with Conditions -- 1 Introduction -- 2 Method -- 2.1 Answer Span Detection -- 2.2 Relation Classification -- 2.3 Additional Strategies -- 3 Experiments -- 3.1 Data Processing -- 3.2 Experiments of Answer Span Detection -- 3.3 Experiments of Relation Classification -- 3.4 Online Result -- 4 Discussion -- 4.1 First Attempt -- 4.2 Second Attempt -- 4.3 Third Attempt -- 4.4 Fourth Attempt -- 4.5 Future Work -- References -- A Pipeline-Based Multimodal Military Event Argument Extraction Framework -- 1 Introduction -- 2 Method -- 2.1 Global Pointer Model for Named Entity Recognition -- 2.2 Yolo Model for Object Detection -- 2.3 Multimodal Matcher -- 3 Experiment -- 3.1 Dataset -- 3.2 Implementation -- 3.3 Main Result -- 4 Conclusion -- References -- A Search-Enhanced Path Mining and Ranking Method for Cross-lingual Knowledge Base Question Answering -- 1 Introduction -- 2 Task Description -- 3 Method -- 3.1 Question Classification -- 3.2 Principal Entity Extraction -- 3.3 Search-Enhanced Candidate Path Mining -- 3.4 Path Ranking -- 4 Experiment Result -- 4.1 Question Classification -- 4.2 Principal Entity Extraction -- 4.3 Search-Enhanced Candidate Path Mining -- 4.4 Path Ranking -- 4.5 End-To-End Evaluation Result -- 5 Conclusion -- References.
A Translation Model-Based Question Answering Approach over Cross-Lingual Knowledge Graphs -- 1 Introduction -- 2 Approach -- 2.1 Overview -- 2.2 Design of Stages -- 2.3 Our Strategies -- 3 Experiments -- 3.1 Data Set -- 3.2 Implementation -- 3.3 Experiment Results -- 3.4 Competition Results -- 4 Conclusion -- References -- Cascaded Solution for Multi-domain Conditional Question Answering with Multiple-Span Answers -- 1 Background and Task Introduction -- 2 Technical Solution -- 2.1 Data Analysis and Processing -- 2.2 Condition-Answer Extraction -- 2.3 Post-extraction Processing -- 2.4 Condition-Answer Relation Classification -- 2.5 Post-classification Processing -- 3 Experiment -- 3.1 Model Effect Evaluation -- 3.2 End-To-End Effect Evaluation -- 4 Conclusion -- References -- Compound Property Prediction Based on Multiple Different Molecular Features and Ensemble Learning -- 1 Introduction -- 2 Related Work -- 2.1 Molecular Descriptor -- 2.2 SMILES -- 2.3 Molecular Graph Representation -- 3 Method -- 3.1 Molecular Vector Representation -- 3.2 AutoEncoder Model -- 3.3 Ensemble Model -- 4 Experiment -- 4.1 Data Introduction -- 4.2 Experimental Setup -- 4.3 Model Parameters and Result -- 5 Summary -- References -- Diagram Question Answering with Joint Training and Bottom-Up and Top-Down Attention -- 1 Introduction -- 2 Related Work -- 2.1 Visual Question Answering -- 2.2 Textbook Question Answering -- 2.3 Diagram Question Answering -- 3 Approach -- 3.1 Model Framework -- 3.2 Bottom-Up and Top-Down Attention -- 3.3 Joint Training -- 4 Experiment -- 4.1 Datasets -- 4.2 Settings -- 4.3 Results -- 5 Conclusion -- References -- Element Information Enhancement for Diagram Question Answering with Synthetic Data -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Diagram Data Synthesis -- 3.2 Diagram Element Detection. 3.3 Baseline and Diagram Element Embedding -- 4 Experiments -- 4.1 Datasets and Settings -- 4.2 Ablation Studies -- 4.3 Ensemble -- 5 Conclusion -- References -- Financial Event Extraction of NEC Dataset Based on Pointer Network -- 1 Introduction -- 2 Related Work -- 2.1 Pattern Matching Technique -- 2.2 Machine Learning Algorithms -- 3 Approach -- 3.1 Overall Model Structure -- 3.2 Custom Position Id -- 3.3 Adversarial Training -- 3.4 Continue Pre-training -- 3.5 Model Voting -- 4 Experiment -- 4.1 Dataset -- 4.2 Implementation -- 4.3 Main Result -- 4.4 Ablation Study -- 5 Conclusion -- References -- High Quality Article Recognition Based on Ernie and Knowledge Mapping -- 1 Introduction -- 2 Related Work -- 3 Dataset Paper -- 4 Method -- 4.1 Summary -- 4.2 Text Preprocessing -- 4.3 Text Classification Model -- 4.4 Model Fusion and Evaluation -- 4.5 Evaluating Indicator -- 5 Experiment -- 6 Conclusion -- References -- High-Quality Article Classification Based on Named Entities of Knowledge Graph and Multi-head Attention -- 1 Introduction -- 2 Methods -- 2.1 Data Preprocessing -- 2.2 Models -- 2.3 Strategies -- 2.4 Data Augmentation -- 3 Experiment -- 3.1 Dataset -- 3.2 Experimental Setups -- 3.3 Results -- 4 Conclusion -- References -- Implementation and Optimization of Graph Computing Algorithms Based on Graph Database -- 1 Introduction -- 2 Preliminaries -- 2.1 Background -- 2.2 Task Statement -- 3 Methodology -- 3.1 Shortest Path Searching -- 3.2 Hop-Constrained Reachability -- 3.3 Top-k Personalized PageRank -- 3.4 Closeness Centrality Computation -- 3.5 Triangle Counting -- 4 Conclusion -- References -- Knowledge Graph Construction for Foreign Military Unmanned Systems -- 1 Introduction -- 2 Related Work -- 2.1 Knowledge Graph Construction -- 2.2 Knowledge Extraction -- 2.3 Knowledge Graph Completion -- 3 Knowledge Graph Construction. 3.1 Schema Construction -- 3.2 Data Crawling and Knowledge Extraction -- 3.3 Entity Alignment and Knowledge Graph Completion -- 3.4 Visualization -- 4 Evaluation -- 5 Conclusion -- References -- Knowledge-Enhanced Classification: A Scheme for Identification of High-Quality Articles -- 1 Introduction -- 1.1 Task Definition -- 1.2 Main Challenges and Solutions -- 2 Our Method -- 2.1 Overview of Basic Model Structure -- 2.2 Model Backbone -- 2.3 Input with Diversity -- 2.4 Change Model Structure -- 3 Innovation Strategies -- 3.1 Adversarial Training -- 3.2 K-Fold Cross-Fusion -- 3.3 Continued Pre-training -- 3.4 EMA -- 3.5 Focal Loss -- 4 Experiments -- 4.1 Dataset -- 4.2 Implementation -- 4.3 Result -- References -- Learning Seq2Seq Model with Dynamic Schema Linking for NL2SQL -- 1 Introduction -- 2 Related Work -- 2.1 NL2SQL Task Classification and Common Datasets -- 2.2 The Development of NL2SQL -- 3 Approach -- 3.1 Map the Column in SQL to the Form of "Table. Column" -- 3.2 Dynamic Schema Linking -- 3.3 Seq2Seq Pre-trained Model -- 4 Evaluation -- 4.1 Dataset -- 4.2 Evaluation Metric -- 4.3 Experimental Setup -- 4.4 Postprocess -- 5 Conclusion -- References -- Learning to Answer Complex Visual Questions from Multi-View Analysis -- 1 Introduction -- 2 Main Methods -- 2.1 Multi-View Training -- 2.2 Step Training -- 3 Experiments -- 3.1 Evaluation Metrics -- 3.2 Implementation Details -- 3.3 Comparison with State-of-the-Art Methods -- 3.4 Experimental Result -- 3.5 Ablation Study -- 3.6 Online Result -- 4 Conclusions -- References -- A Prompt-Based UIE Framework -- 1 Introduction -- 2 Related Work -- 3 Task Description -- 4 Methods -- 4.1 Three Sub-modules of Our Framework -- 4.2 Our Models -- 5 Experiments -- 5.1 Experiment for Seen Schemas -- 5.2 Experiment for Unseen Schemas -- 6 Conclusion -- References. Multi-modal Representation Learning with Self-adaptive Threshold for Commodity Verification -- 1 Introduction -- 2 Method -- 2.1 Self-adaptive Threshold -- 2.2 Model Architecture -- 2.3 Loss Function -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Ablation -- 3.3 Score Distribution -- 4 Conclusion -- References -- Multimodal Representation Learning-Based Product Matching -- 1 Introduction -- 2 Related Works -- 2.1 Product Matching -- 2.2 Multimodal Representation Learning -- 3 Methodology -- 3.1 Text Representation Module -- 3.2 Image Representation Module -- 3.3 Contrastive Learning Objective -- 3.4 Model Ensemble -- 4 Experiments -- 4.1 Dataset -- 4.2 Data Pre-processing -- 4.3 Experimental Setup -- 4.4 Post-processing -- 4.5 Experimental Results -- 5 Conclusion -- References -- Relation Extraction as Text Matching: A Scheme for Multi-hop Knowledge Base Question Answering -- 1 Introduction -- 2 Methodology -- 2.1 Question Classification -- 2.2 Entity Linking -- 2.3 Path Construction -- 2.4 Answer Retrieval -- 3 Experiment -- 3.1 Dataset -- 3.2 Experiment Details -- 4 Conclusion -- References -- Research on Salient Reasoning for Commonsense Knowledge -- 1 Related Work -- 2 Data -- 2.1 Data Sources -- 2.2 Significant Definitions -- 2.3 Data Annotation Analysis -- 3 Method -- 3.1 CSI-Prompt -- 3.2 MultiTask-Ernie -- 4 Experiments -- 4.1 Data Distribution -- 4.2 Main Model -- 4.3 Main Method -- 4.4 Experimental Results -- 5 Conclusion -- References -- Retrieval-Then-Parsing: A Two-Stage Model for SQL Generation in Financial Domain -- 1 Introduction -- 2 Methodology -- 2.1 Overview -- 2.2 Table Retriever -- 2.3 Knowledge-Enhanced Semantic Parser -- 3 Experiment -- 3.1 Dataset -- 3.2 Table Retrieval -- 3.3 Semantic Parsing -- 4 Conclusion -- References -- Structured Design Solves Multiple Tables of NL2SQL -- 1 First Section -- 1.1 Background. 1.2 Data Description. |
| Record Nr. | UNINA-9910633910203321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
CCKS 2022 - evaluation track : 7th China Conference on Knowledge Graph and Semantic Computing Evaluations, CCKS 2022, Qinhuangdao, China, August 24-27, 2022, revised selected papers / / Ningyu Zhang [and four others] editors
| CCKS 2022 - evaluation track : 7th China Conference on Knowledge Graph and Semantic Computing Evaluations, CCKS 2022, Qinhuangdao, China, August 24-27, 2022, revised selected papers / / Ningyu Zhang [and four others] editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (249 pages) |
| Disciplina | 006.332 |
| Collana | Communications in computer and information science |
| Soggetto topico |
Knowledge representation (Information theory)
Semantic computing |
| ISBN | 981-19-8300-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- A Chemical Domain Knowledge-Aware Framework for Multi-view Molecular Property Prediction -- 1 Introduction -- 2 Related Work -- 2.1 Supervised MRL -- 2.2 Self-supervised MRL -- 2.3 Domain Knowledge Based MRL -- 3 Our Approach -- 3.1 KPGT -- 3.2 Functional Group Embedding -- 3.3 Knowledge Graph Embedding -- 4 Experiments -- 4.1 Dataset -- 4.2 Parameter Settings -- 4.3 Results -- 4.4 Discussion -- 5 Conclusion -- References -- A Coarse Pipeline to Solve Hierarchical Multi-answer Questions with Conditions -- 1 Introduction -- 2 Method -- 2.1 Answer Span Detection -- 2.2 Relation Classification -- 2.3 Additional Strategies -- 3 Experiments -- 3.1 Data Processing -- 3.2 Experiments of Answer Span Detection -- 3.3 Experiments of Relation Classification -- 3.4 Online Result -- 4 Discussion -- 4.1 First Attempt -- 4.2 Second Attempt -- 4.3 Third Attempt -- 4.4 Fourth Attempt -- 4.5 Future Work -- References -- A Pipeline-Based Multimodal Military Event Argument Extraction Framework -- 1 Introduction -- 2 Method -- 2.1 Global Pointer Model for Named Entity Recognition -- 2.2 Yolo Model for Object Detection -- 2.3 Multimodal Matcher -- 3 Experiment -- 3.1 Dataset -- 3.2 Implementation -- 3.3 Main Result -- 4 Conclusion -- References -- A Search-Enhanced Path Mining and Ranking Method for Cross-lingual Knowledge Base Question Answering -- 1 Introduction -- 2 Task Description -- 3 Method -- 3.1 Question Classification -- 3.2 Principal Entity Extraction -- 3.3 Search-Enhanced Candidate Path Mining -- 3.4 Path Ranking -- 4 Experiment Result -- 4.1 Question Classification -- 4.2 Principal Entity Extraction -- 4.3 Search-Enhanced Candidate Path Mining -- 4.4 Path Ranking -- 4.5 End-To-End Evaluation Result -- 5 Conclusion -- References.
A Translation Model-Based Question Answering Approach over Cross-Lingual Knowledge Graphs -- 1 Introduction -- 2 Approach -- 2.1 Overview -- 2.2 Design of Stages -- 2.3 Our Strategies -- 3 Experiments -- 3.1 Data Set -- 3.2 Implementation -- 3.3 Experiment Results -- 3.4 Competition Results -- 4 Conclusion -- References -- Cascaded Solution for Multi-domain Conditional Question Answering with Multiple-Span Answers -- 1 Background and Task Introduction -- 2 Technical Solution -- 2.1 Data Analysis and Processing -- 2.2 Condition-Answer Extraction -- 2.3 Post-extraction Processing -- 2.4 Condition-Answer Relation Classification -- 2.5 Post-classification Processing -- 3 Experiment -- 3.1 Model Effect Evaluation -- 3.2 End-To-End Effect Evaluation -- 4 Conclusion -- References -- Compound Property Prediction Based on Multiple Different Molecular Features and Ensemble Learning -- 1 Introduction -- 2 Related Work -- 2.1 Molecular Descriptor -- 2.2 SMILES -- 2.3 Molecular Graph Representation -- 3 Method -- 3.1 Molecular Vector Representation -- 3.2 AutoEncoder Model -- 3.3 Ensemble Model -- 4 Experiment -- 4.1 Data Introduction -- 4.2 Experimental Setup -- 4.3 Model Parameters and Result -- 5 Summary -- References -- Diagram Question Answering with Joint Training and Bottom-Up and Top-Down Attention -- 1 Introduction -- 2 Related Work -- 2.1 Visual Question Answering -- 2.2 Textbook Question Answering -- 2.3 Diagram Question Answering -- 3 Approach -- 3.1 Model Framework -- 3.2 Bottom-Up and Top-Down Attention -- 3.3 Joint Training -- 4 Experiment -- 4.1 Datasets -- 4.2 Settings -- 4.3 Results -- 5 Conclusion -- References -- Element Information Enhancement for Diagram Question Answering with Synthetic Data -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Diagram Data Synthesis -- 3.2 Diagram Element Detection. 3.3 Baseline and Diagram Element Embedding -- 4 Experiments -- 4.1 Datasets and Settings -- 4.2 Ablation Studies -- 4.3 Ensemble -- 5 Conclusion -- References -- Financial Event Extraction of NEC Dataset Based on Pointer Network -- 1 Introduction -- 2 Related Work -- 2.1 Pattern Matching Technique -- 2.2 Machine Learning Algorithms -- 3 Approach -- 3.1 Overall Model Structure -- 3.2 Custom Position Id -- 3.3 Adversarial Training -- 3.4 Continue Pre-training -- 3.5 Model Voting -- 4 Experiment -- 4.1 Dataset -- 4.2 Implementation -- 4.3 Main Result -- 4.4 Ablation Study -- 5 Conclusion -- References -- High Quality Article Recognition Based on Ernie and Knowledge Mapping -- 1 Introduction -- 2 Related Work -- 3 Dataset Paper -- 4 Method -- 4.1 Summary -- 4.2 Text Preprocessing -- 4.3 Text Classification Model -- 4.4 Model Fusion and Evaluation -- 4.5 Evaluating Indicator -- 5 Experiment -- 6 Conclusion -- References -- High-Quality Article Classification Based on Named Entities of Knowledge Graph and Multi-head Attention -- 1 Introduction -- 2 Methods -- 2.1 Data Preprocessing -- 2.2 Models -- 2.3 Strategies -- 2.4 Data Augmentation -- 3 Experiment -- 3.1 Dataset -- 3.2 Experimental Setups -- 3.3 Results -- 4 Conclusion -- References -- Implementation and Optimization of Graph Computing Algorithms Based on Graph Database -- 1 Introduction -- 2 Preliminaries -- 2.1 Background -- 2.2 Task Statement -- 3 Methodology -- 3.1 Shortest Path Searching -- 3.2 Hop-Constrained Reachability -- 3.3 Top-k Personalized PageRank -- 3.4 Closeness Centrality Computation -- 3.5 Triangle Counting -- 4 Conclusion -- References -- Knowledge Graph Construction for Foreign Military Unmanned Systems -- 1 Introduction -- 2 Related Work -- 2.1 Knowledge Graph Construction -- 2.2 Knowledge Extraction -- 2.3 Knowledge Graph Completion -- 3 Knowledge Graph Construction. 3.1 Schema Construction -- 3.2 Data Crawling and Knowledge Extraction -- 3.3 Entity Alignment and Knowledge Graph Completion -- 3.4 Visualization -- 4 Evaluation -- 5 Conclusion -- References -- Knowledge-Enhanced Classification: A Scheme for Identification of High-Quality Articles -- 1 Introduction -- 1.1 Task Definition -- 1.2 Main Challenges and Solutions -- 2 Our Method -- 2.1 Overview of Basic Model Structure -- 2.2 Model Backbone -- 2.3 Input with Diversity -- 2.4 Change Model Structure -- 3 Innovation Strategies -- 3.1 Adversarial Training -- 3.2 K-Fold Cross-Fusion -- 3.3 Continued Pre-training -- 3.4 EMA -- 3.5 Focal Loss -- 4 Experiments -- 4.1 Dataset -- 4.2 Implementation -- 4.3 Result -- References -- Learning Seq2Seq Model with Dynamic Schema Linking for NL2SQL -- 1 Introduction -- 2 Related Work -- 2.1 NL2SQL Task Classification and Common Datasets -- 2.2 The Development of NL2SQL -- 3 Approach -- 3.1 Map the Column in SQL to the Form of "Table. Column" -- 3.2 Dynamic Schema Linking -- 3.3 Seq2Seq Pre-trained Model -- 4 Evaluation -- 4.1 Dataset -- 4.2 Evaluation Metric -- 4.3 Experimental Setup -- 4.4 Postprocess -- 5 Conclusion -- References -- Learning to Answer Complex Visual Questions from Multi-View Analysis -- 1 Introduction -- 2 Main Methods -- 2.1 Multi-View Training -- 2.2 Step Training -- 3 Experiments -- 3.1 Evaluation Metrics -- 3.2 Implementation Details -- 3.3 Comparison with State-of-the-Art Methods -- 3.4 Experimental Result -- 3.5 Ablation Study -- 3.6 Online Result -- 4 Conclusions -- References -- A Prompt-Based UIE Framework -- 1 Introduction -- 2 Related Work -- 3 Task Description -- 4 Methods -- 4.1 Three Sub-modules of Our Framework -- 4.2 Our Models -- 5 Experiments -- 5.1 Experiment for Seen Schemas -- 5.2 Experiment for Unseen Schemas -- 6 Conclusion -- References. Multi-modal Representation Learning with Self-adaptive Threshold for Commodity Verification -- 1 Introduction -- 2 Method -- 2.1 Self-adaptive Threshold -- 2.2 Model Architecture -- 2.3 Loss Function -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Ablation -- 3.3 Score Distribution -- 4 Conclusion -- References -- Multimodal Representation Learning-Based Product Matching -- 1 Introduction -- 2 Related Works -- 2.1 Product Matching -- 2.2 Multimodal Representation Learning -- 3 Methodology -- 3.1 Text Representation Module -- 3.2 Image Representation Module -- 3.3 Contrastive Learning Objective -- 3.4 Model Ensemble -- 4 Experiments -- 4.1 Dataset -- 4.2 Data Pre-processing -- 4.3 Experimental Setup -- 4.4 Post-processing -- 4.5 Experimental Results -- 5 Conclusion -- References -- Relation Extraction as Text Matching: A Scheme for Multi-hop Knowledge Base Question Answering -- 1 Introduction -- 2 Methodology -- 2.1 Question Classification -- 2.2 Entity Linking -- 2.3 Path Construction -- 2.4 Answer Retrieval -- 3 Experiment -- 3.1 Dataset -- 3.2 Experiment Details -- 4 Conclusion -- References -- Research on Salient Reasoning for Commonsense Knowledge -- 1 Related Work -- 2 Data -- 2.1 Data Sources -- 2.2 Significant Definitions -- 2.3 Data Annotation Analysis -- 3 Method -- 3.1 CSI-Prompt -- 3.2 MultiTask-Ernie -- 4 Experiments -- 4.1 Data Distribution -- 4.2 Main Model -- 4.3 Main Method -- 4.4 Experimental Results -- 5 Conclusion -- References -- Retrieval-Then-Parsing: A Two-Stage Model for SQL Generation in Financial Domain -- 1 Introduction -- 2 Methodology -- 2.1 Overview -- 2.2 Table Retriever -- 2.3 Knowledge-Enhanced Semantic Parser -- 3 Experiment -- 3.1 Dataset -- 3.2 Table Retrieval -- 3.3 Semantic Parsing -- 4 Conclusion -- References -- Structured Design Solves Multiple Tables of NL2SQL -- 1 First Section -- 1.1 Background. 1.2 Data Description. |
| Record Nr. | UNISA-996503566903316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence [[electronic resource] ] : 8th China Conference, CCKS 2023, Shenyang, China, August 24–27, 2023, Revised Selected Papers / / edited by Haofen Wang, Xianpei Han, Ming Liu, Gong Cheng, Yongbin Liu, Ningyu Zhang
| Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence [[electronic resource] ] : 8th China Conference, CCKS 2023, Shenyang, China, August 24–27, 2023, Revised Selected Papers / / edited by Haofen Wang, Xianpei Han, Ming Liu, Gong Cheng, Yongbin Liu, Ningyu Zhang |
| Autore | Wang Haofen |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (371 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
HanXianpei
LiuMing ChengGong LiuYongbin ZhangNingyu |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Application software Information storage and retrieval systems Database management Data mining Information technology - Management Artificial Intelligence Computer and Information Systems Applications Information Storage and Retrieval Database Management Data Mining and Knowledge Discovery Computer Application in Administrative Data Processing |
| ISBN | 981-9972-24-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge Representation and Knowledge Graph Reasoning -- Dynamic Weighted Neural Bellman-Ford Network for Knowledge Graph Reasoning -- CausE: Towards Causal Knowledge Graph Embedding -- Exploring the Logical Expressiveness of Graph Neural Networks by establishing a connection with C2 -- Research on Joint Representation Learning Methods for Entity Neighborhood Information and Description Information -- Knowledge Acquisition and Knowledge Base Construction -- Harvesting Event Schemas from Large Language Models -- NTDA: Noise-Tolerant Data Augmentation for Document-Level Event Argument Extraction -- Event-Centric Opinion Mining via In-Context Learning with ChatGPT -- Relation repository based adaptive clustering for Open Relation Extraction -- Knowledge Integration and Knowledge Graph Management -- LNFGP: Local Node Fusion-based Graph Partition By Greedy Clustering -- Natural Language Understanding and Semantic Computing -- Multi-Perspective Frame Element Representation for Machine Reading Comprehension -- A Generalized Strategy of Chinese Grammatical Error Diagnosis based on Task Decomposition and Transformation -- Conversational Search based on Utterance-Mask-Passage Post-training -- Knowledge Graph Applications -- Financial Fraud Detection based on Deep Learning: towards Large-scale Pre-Training Transformer Models -- GERNS: A Graph Embedding with Repeat-free Neighborhood Structure for Subgraph Matching Optimization -- Feature Enhanced Structured Reasoning for Question Answering -- Knowledge Graph Open Resources -- Conditional Knowledge Graph: Design, Dataset and a Preliminary Model -- ODKG: An Official Document Knowledge Graph for the Effective Management -- CCD-ASQP: A Chinese Cross-domain Aspect Sentiment Quadruple Prediction Dataset -- CCD-ASQP: A Chinese Cross-domain Aspect Sentiment Quadruple Prediction Dataset -- Moral Essential Elements: MEE - A Dataset for Moral Judgement -- Evaluations -- Improving Adaptive Knowledge Graph Construction via Large Language Models with Multiple Views -- Single Source Path-based Graph Neural Network for Inductive Knowledge Graph Reasoning -- A Graph Learning Based Method for Inductive Knowledge Graph Relation Prediction -- LLM-Based Sparql Generation with selected Schema from Large scale Knowledge Base -- Robust NL-to-Cypher Translation for KBQA: Harnessing Large Language Model with Chain of Prompts -- In-Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Models -- A Military Domain Knowledge-based Question Answering Method Based on Large Language Model Enhancement -- Advanced PromptCBLUE Performance: A Novel Approach Leveraging Large Language Models. |
| Record Nr. | UNISA-996558567603316 |
Wang Haofen
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence : 8th China Conference, CCKS 2023, Shenyang, China, August 24–27, 2023, Revised Selected Papers / / edited by Haofen Wang, Xianpei Han, Ming Liu, Gong Cheng, Yongbin Liu, Ningyu Zhang
| Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence : 8th China Conference, CCKS 2023, Shenyang, China, August 24–27, 2023, Revised Selected Papers / / edited by Haofen Wang, Xianpei Han, Ming Liu, Gong Cheng, Yongbin Liu, Ningyu Zhang |
| Autore | Wang Haofen |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (371 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
HanXianpei
LiuMing ChengGong LiuYongbin ZhangNingyu |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Application software Information storage and retrieval systems Database management Data mining Information technology - Management Artificial Intelligence Computer and Information Systems Applications Information Storage and Retrieval Database Management Data Mining and Knowledge Discovery Computer Application in Administrative Data Processing |
| ISBN | 981-9972-24-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge Representation and Knowledge Graph Reasoning -- Dynamic Weighted Neural Bellman-Ford Network for Knowledge Graph Reasoning -- CausE: Towards Causal Knowledge Graph Embedding -- Exploring the Logical Expressiveness of Graph Neural Networks by establishing a connection with C2 -- Research on Joint Representation Learning Methods for Entity Neighborhood Information and Description Information -- Knowledge Acquisition and Knowledge Base Construction -- Harvesting Event Schemas from Large Language Models -- NTDA: Noise-Tolerant Data Augmentation for Document-Level Event Argument Extraction -- Event-Centric Opinion Mining via In-Context Learning with ChatGPT -- Relation repository based adaptive clustering for Open Relation Extraction -- Knowledge Integration and Knowledge Graph Management -- LNFGP: Local Node Fusion-based Graph Partition By Greedy Clustering -- Natural Language Understanding and Semantic Computing -- Multi-Perspective Frame Element Representation for Machine Reading Comprehension -- A Generalized Strategy of Chinese Grammatical Error Diagnosis based on Task Decomposition and Transformation -- Conversational Search based on Utterance-Mask-Passage Post-training -- Knowledge Graph Applications -- Financial Fraud Detection based on Deep Learning: towards Large-scale Pre-Training Transformer Models -- GERNS: A Graph Embedding with Repeat-free Neighborhood Structure for Subgraph Matching Optimization -- Feature Enhanced Structured Reasoning for Question Answering -- Knowledge Graph Open Resources -- Conditional Knowledge Graph: Design, Dataset and a Preliminary Model -- ODKG: An Official Document Knowledge Graph for the Effective Management -- CCD-ASQP: A Chinese Cross-domain Aspect Sentiment Quadruple Prediction Dataset -- CCD-ASQP: A Chinese Cross-domain Aspect Sentiment Quadruple Prediction Dataset -- Moral Essential Elements: MEE - A Dataset for Moral Judgement -- Evaluations -- Improving Adaptive Knowledge Graph Construction via Large Language Models with Multiple Views -- Single Source Path-based Graph Neural Network for Inductive Knowledge Graph Reasoning -- A Graph Learning Based Method for Inductive Knowledge Graph Relation Prediction -- LLM-Based Sparql Generation with selected Schema from Large scale Knowledge Base -- Robust NL-to-Cypher Translation for KBQA: Harnessing Large Language Model with Chain of Prompts -- In-Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Models -- A Military Domain Knowledge-based Question Answering Method Based on Large Language Model Enhancement -- Advanced PromptCBLUE Performance: A Novel Approach Leveraging Large Language Models. |
| Record Nr. | UNINA-9910755072803321 |
|
Wang Haofen
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||