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Knowledge management strategy and technology / / Richard F. Bellaver, John M. Lusa, editors
Knowledge management strategy and technology / / Richard F. Bellaver, John M. Lusa, editors
Pubbl/distr/stampa Boston ; , : Artech House, , ©2002
Descrizione fisica 1 online resource (266 p.)
Disciplina 658.4/038
Altri autori (Persone) BellaverRichard F
LusaJohn M
Collana Artech House computing library
Soggetto topico Information networks - Management
Information technology - Management
Internet - Management
Knowledge management
ISBN 1-58053-683-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto V; Preface xi; Introduction xix; 1 A practical framework for understanding KM 1; 1.1 Introduction 1; 1.2 Information is knowledge in motion 5; 1.3 Applying Gates's metaphor of a "digital nervous 1.3 Applying Gates's metaphor of a "digital nervous 11; 1.4 Moving and using information: the practice of information networking in a KM context 16; 1.5 Conclusion 18; Endnotes 21; Acknowledgments 22; 2 Document imaging and management: taming the paper tiger 23; 2.1 Introduction 23; 2.2 Information revolution 24; 2.3 System solutions 29.
2.4 The moving parts of DIM 332.5 Questions to be answered 38; 2.6 Professionalism in the field 39; 2.7 Conclusion 39; References 40; 3 Groupware: messaging and cooperation 41; 3.1 Introduction 41; 3.2 A wide view 42; 3.3 Conclusion 56; References 57; 4 Developing effective knowledge with both qualitative and quantitative research 59; 4.1 Introduction 59; 4.2 Problems 62; 4.3 Solutions 65; 4.4 What to do next: use new technology 72; 4.5 Conclusion 73; References 74; 5 Systems architecture: the preparation for KM 75; 5.1 Introduction 75.
5.2 Problems: the opportunities and the challenges 795.3 Implementing a KM strategy 88; 5.4 Conclusion 92; Selected bibliography 93; 6 Data warehousing: the storage and access of distributed information 95; 6.1 Introduction 95; 6.2 Storing information 97; 6.3 Distributing information 99; 6.4 Accessing information 100; 6.5 Using RAID technology for storage and protection 106; 6.6 The data warehouse for storing information 107; 6.7 Using the Web as a warehouse 109; 6.8 Conclusion 110; Selected bibliography 112; 7 An integrated development model for KM 113.
7.1 Introduction 1137.2 Defining the problem 114; 7.3 Solution: integrated KM development model 118; 7.4 Conclusion 133; References 134; 8 The role of directories in KM 135; 8.1 Background 135; 8.2 Problems with the traditional directory 136; 8.3 Full-service directory solution 137; 8.4 What to do next: finding knowledge workers 144; 8.5 Conclusion 149; References 150; 9 The Internet as a mechanism to enhance content and extend access to corporate data resources 151; 9.1 Background 151; 9.2 Problems with information overload 153.
9.3 Solutions: harvesting the Internet 1579.4 What to do next by monitoring egress 164; 9.5 Conclusion 166; References 167; 10 A case study: the power of managing knowledge in a worldwide enterprise 169; 10.1 Introduction 169; 10.2 Problems during transformation 170; 10.3 Solution with first-generation KM 171; 10.4 Continuing solutions with second-generation KM 175; 10.5 What to do next: go third-generation KM 178; 10.6 Conclusion 179; 11 KM for competitive advantage: mining diverse sources for marketing intelligence 181; 11.1 Introduction 181.
Record Nr. UNINA-9910808743403321
Boston ; , : Artech House, , ©2002
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Knowledge Management, Arts, and Humanities [[electronic resource] ] : Interdisciplinary Approaches and the Benefits of Collaboration / / edited by Meliha Handzic, Daniela Carlucci
Knowledge Management, Arts, and Humanities [[electronic resource] ] : Interdisciplinary Approaches and the Benefits of Collaboration / / edited by Meliha Handzic, Daniela Carlucci
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (259 pages)
Disciplina 658.4038
Collana Knowledge Management and Organizational Learning
Soggetto topico Knowledge management
Data mining
Sociology
Knowledge Management
Humanities and Social Sciences, multidisciplinary
Data Mining and Knowledge Discovery
Knowledge - Discourse
ISBN 3-030-10922-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction: Knowledge Management, Arts and Humanities: Setting the Scene -- Arts and Humanities in Knowledge Management: Clay Workshop as a Method for Recognising and Creating Individual Knowledge -- Understanding and Fostering Collective Ideation: An Improvisation-based Method -- What Can Knowledge Creating Organisations Learn from Theatrical Improvision? -- Transferring Cultural Knowledge Through Arts: Two Digital Stories -- Aesthetic Knowledge Diagrams: Bridging Understanding and Communication -- Knowledge Management in Arts and Humanities: Humanists' Virtual Knowledge Space: Model and Usage -- Managing Archaeological Knowledge in Digital Environment -- Poetry Visualisation in Digital Technology -- What Can Social Media Data Add to the Knowledge of Arts and Humanities? An Empirical Investigation on Twitter at Teatro Alla Scala -- Intellectual Capital of the Cultural Heritage Ecosystems: A Knowledge Dynamics Approach -- Conclusion: Beyond Lessons Learned: Opportunities and Challenges for Interplay Between Knowledge Management, Arts and Humanities in the Digital Age. .
Record Nr. UNINA-9910337785303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Knowledge networks for Future Force training [[electronic resource] ] : illustration of searching, retrieval, and communication concepts / / James A. Wall ... [and others]
Knowledge networks for Future Force training [[electronic resource] ] : illustration of searching, retrieval, and communication concepts / / James A. Wall ... [and others]
Pubbl/distr/stampa Arlington, VA : , : U.S. Army Research Institute for the Behavioral and Social Sciences, , [2004]
Descrizione fisica 67 unnumbered pages : digital, PDF file
Altri autori (Persone) WallJames A., Jr.
Collana Research report
Soggetto topico Soldiers - Training of
Knowledge management
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Knowledge networks for Future Force training
Record Nr. UNINA-9910698776403321
Arlington, VA : , : U.S. Army Research Institute for the Behavioral and Social Sciences, , [2004]
Materiale a stampa
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Knowledge production, consumption and impact [[electronic resource] ] : policy indicators for a changing world / / guest editor, Ian Rowlands
Knowledge production, consumption and impact [[electronic resource] ] : policy indicators for a changing world / / guest editor, Ian Rowlands
Pubbl/distr/stampa Bradford, England, : Emerald Group Publishing, c2003
Descrizione fisica 1 online resource (110 p.)
Disciplina 4
Altri autori (Persone) RowlandsIan
Collana Aslib proceedings: new information perspectives
Soggetto topico Information technology - Management
Knowledge management
Soggetto genere / forma Electronic books.
ISBN 1-280-51071-4
9786610510719
1-84544-448-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; Abstracts & keywords; Knowledge production, consumption and impact: policy indicators for a changing world; Information metrics and user studies; (Mis)understanding the digital media revolution; Digital information consumers, players and purchasers; Beyond outputs; Digital information provision via interactive television; Comparing the use of two DiTV transmission services; Home electronic health information for the consumer; Modelling the diffusion of specialised knowledge; Digital journals, Big Deals and online searching behaviour;
Record Nr. UNINA-9910450193203321
Bradford, England, : Emerald Group Publishing, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Knowledge production, consumption and impact [[electronic resource] ] : policy indicators for a changing world / / guest editor, Ian Rowlands
Knowledge production, consumption and impact [[electronic resource] ] : policy indicators for a changing world / / guest editor, Ian Rowlands
Pubbl/distr/stampa Bradford, England, : Emerald Group Publishing, c2003
Descrizione fisica 1 online resource (110 p.)
Disciplina 4
Altri autori (Persone) RowlandsIan
Collana Aslib proceedings: new information perspectives
Soggetto topico Information technology - Management
Knowledge management
ISBN 1-280-51071-4
9786610510719
1-84544-448-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; Abstracts & keywords; Knowledge production, consumption and impact: policy indicators for a changing world; Information metrics and user studies; (Mis)understanding the digital media revolution; Digital information consumers, players and purchasers; Beyond outputs; Digital information provision via interactive television; Comparing the use of two DiTV transmission services; Home electronic health information for the consumer; Modelling the diffusion of specialised knowledge; Digital journals, Big Deals and online searching behaviour;
Record Nr. UNINA-9910782940803321
Bradford, England, : Emerald Group Publishing, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Knowledge production, consumption and impact : policy indicators for a changing world / / guest editor, Ian Rowlands
Knowledge production, consumption and impact : policy indicators for a changing world / / guest editor, Ian Rowlands
Edizione [1st ed.]
Pubbl/distr/stampa Bradford, England, : Emerald Group Publishing, c2003
Descrizione fisica 1 online resource (110 p.)
Disciplina 4
Altri autori (Persone) RowlandsIan <1959->
Collana Aslib proceedings: new information perspectives
Soggetto topico Information technology - Management
Knowledge management
ISBN 1-280-51071-4
9786610510719
1-84544-448-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; Abstracts & keywords; Knowledge production, consumption and impact: policy indicators for a changing world; Information metrics and user studies; (Mis)understanding the digital media revolution; Digital information consumers, players and purchasers; Beyond outputs; Digital information provision via interactive television; Comparing the use of two DiTV transmission services; Home electronic health information for the consumer; Modelling the diffusion of specialised knowledge; Digital journals, Big Deals and online searching behaviour;
Record Nr. UNINA-9910811363503321
Bradford, England, : Emerald Group Publishing, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Knowledge Risk Management [[electronic resource] ] : From Theory to Praxis / / edited by Susanne Durst, Thomas Henschel
Knowledge Risk Management [[electronic resource] ] : From Theory to Praxis / / edited by Susanne Durst, Thomas Henschel
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (266 pages)
Disciplina 658.155
Collana Management for Professionals
Soggetto topico Knowledge management
Leadership
Risk management
Knowledge Management
Business Strategy/Leadership
Risk Management
ISBN 3-030-35121-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction to the book, its aim, and content -- Chapter 2. Knowledge Risk Management – State of Research -- Chapter 3. Knowledge risk management in companies offering knowledge-intensive business services -- Chapter 4. Toyota Kata Approach a way to mitigate knowledge risks in start-ups -- Chapter 5. Knowledge Risk Management in Two-Tier HRM Structures -- Chapter 6. Practical aspects of knowledge risk management in corporate finance for family firms -- Chapter 7. Knowledge Risk Management for State-Owned Enterprises-Indian Scenario -- Chapter 8. Knowledge communication and communication risks in healthcare – Professional amateur patients with thyroid disease show the way -- Chapter 9. Blockchain: A New Disruptive Innovation for Knowledge Risk Management -- Chapter 10. An integrated research methodology to identify and assess knowledge risk in a corporation with an application to a financial institution -- Chapter 11. Knowledge Risk Management In German Leasing Companies -- Chapter 12. Port Knowledge Risk Management -- Chapter 13. Knowledge Risk Management During Implementation of Open Innovation -- Chapter 14. Handling knowledge risk management supported by ISO standards -- Chapter 15. Conclusions & Outlook.
Record Nr. UNINA-9910377823203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Knowledge science, engineering and management : 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, proceedings, Part III / / Gerard Memmi [and four others] editors
Knowledge science, engineering and management : 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, proceedings, Part III / / Gerard Memmi [and four others] editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (769 pages)
Disciplina 006.33
Collana Lecture notes in computer science. Lecture notes in artificial intelligence
Soggetto topico Knowledge acquisition (Expert systems)
Knowledge management
ISBN 3-031-10989-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910585789503321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Knowledge science, engineering and management : 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, proceedings, Part III / / Gerard Memmi [and four others] editors
Knowledge science, engineering and management : 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, proceedings, Part III / / Gerard Memmi [and four others] editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (769 pages)
Disciplina 006.33
Collana Lecture notes in computer science. Lecture notes in artificial intelligence
Soggetto topico Knowledge acquisition (Expert systems)
Knowledge management
ISBN 3-031-10989-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996483159703316
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Knowledge science, engineering and management : 15th international conference, KSEM 2022, Singapore, August 6-8, 2022, proceedings, part ii / / Gerard Memmi, [and four others], (editors)
Knowledge science, engineering and management : 15th international conference, KSEM 2022, Singapore, August 6-8, 2022, proceedings, part ii / / Gerard Memmi, [and four others], (editors)
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (715 pages)
Disciplina 658.4038
Collana Lecture Notes in Computer Science
Soggetto topico Knowledge management
Soggetto non controllato Mathematics
ISBN 3-031-10986-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organizations -- Contents - Part II -- Knowledge Engineering Research and Applications (KERA) -- Multi-view Heterogeneous Network Embedding -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 4 Methodology -- 4.1 Semantics-Based View Generation -- 4.2 View Preservation and Enhanced View Collaboration -- 4.3 Embedding Fusion -- 4.4 Optimization Objective -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Link Prediction -- 5.3 Node Classification -- 5.4 Parameter Sensitivity Analysis -- 6 Conclusion -- References -- A Multi-level Attention-Based LSTM Network for Ultra-short-term Solar Power Forecast Using Meteorological Knowledge -- 1 Introduction -- 2 Related Work -- 3 Architecture -- 3.1 Encoder -- 3.2 Decoder -- 4 Experiment: Case Study -- 4.1 Datasets Setting -- 4.2 Experimental Setting -- 4.3 Results and Analysis -- 5 Conclusions -- References -- Unsupervised Person Re-ID via Loose-Tight Alternate Clustering -- 1 Introduction -- 2 Related Work -- 2.1 Clustering-Guided Unsupervised Person re-ID -- 2.2 Camera-Aware Unsupervised Person re-ID -- 3 Methodology -- 3.1 Problem Definition -- 3.2 Loose and Tight Clustering Bounds -- 3.3 Loose-Tight Alternate Clustering -- 3.4 Quality Measurement Based Learning -- 4 Experiments -- 4.1 Datasets and Evaluation Protocol -- 4.2 Implementation Details -- 4.3 Ablation Studies -- 4.4 Comparison with State-of-the-Art Methods -- 4.5 Robustness Evaluation -- 5 Conclusion -- References -- Sparse Dense Transformer Network for Video Action Recognition -- 1 Introduction -- 2 Related Work -- 2.1 CNNs in Action Recognition -- 2.2 Transformer in Action Recognition -- 3 Sparse Dense Transformer Network -- 3.1 Frame Alignment -- 3.2 Patch Crop -- 4 Experiments -- 5 Ablation Experiments -- 6 Conclusion -- References -- Deep User Multi-interest Network for Click-Through Rate Prediction.
1 Introduction -- 2 Related Works -- 3 The Proposed Model -- 3.1 Preliminaries -- 3.2 Embedding -- 3.3 Self-Interest Extractor Network -- 3.4 User-User Interest Extractor Network -- 3.5 Prediction and Optimization Objective -- 4 Experiments -- 4.1 Datasets -- 4.2 Competitors and Parameter Settings -- 4.3 Experimental Results -- 4.4 Ablation Study -- 4.5 Parameter Analysis -- 5 Conclusions -- References -- Open Relation Extraction via Query-Based Span Prediction -- 1 Introduction -- 2 Approach -- 2.1 Task Description -- 2.2 Query Template Creation -- 2.3 Encoder -- 2.4 Span Extraction Module -- 2.5 Training and Inference -- 3 Experimental Setup -- 3.1 Datasets -- 3.2 Implementations -- 3.3 Baselines -- 4 Experimental Results -- 4.1 H1: QORE for Multilingual Open Relation Extraction -- 4.2 H2: Zero-shot Domain Transferability of QORE -- 4.3 H3: Few-Shot Learning Ability of QORE -- 5 Conclusion -- References -- Relational Triple Extraction with Relation-Attentive Contextual Semantic Representations -- 1 Introduction -- 1.1 Challenge of Relation Extraction -- 1.2 Our Contribution -- 2 Related Work -- 3 Methodology -- 3.1 Representations of Token and Relation -- 3.2 Relation Prediction -- 3.3 Subject and Object Extraction -- 3.4 Training and Inference -- 4 Experiment and Analysis -- 4.1 Datasets and Settings -- 4.2 Baselines and Evaluation Metrics -- 4.3 Relation Extraction Results -- 4.4 Ablation Study -- 5 Conclusion and Future Works -- References -- Mario Fast Learner: Fast and Efficient Solutions for Super Mario Bros -- 1 Introduction -- 2 Background -- 2.1 Reinforcement Learning -- 2.2 Super Mario Bros Games -- 2.3 Leading Reinforcement Learning Methods -- 2.4 Problems of Previous Methods -- 3 Proposed Methods -- 3.1 Use Accuracy Metrics -- 3.2 Accelerated Training Solution -- 3.3 Target Function Update -- 4 Experiments.
4.1 Baseline with Accuracy Check -- 4.2 New Method -- 5 Conclusion -- References -- Few-Shot Learning with Self-supervised Classifier for Complex Knowledge Base Question Answering -- 1 Introduction -- 2 MACL -- 2.1 Overview of the Framework -- 2.2 Algorithm -- 2.3 Objective Function with Reinforcement Learning -- 3 Evaluation -- 3.1 CQA Dataset -- 3.2 Comparison Methods -- 3.3 Implementation Details -- 3.4 Performance Evaluation -- 4 Related Work -- 5 Conclusion -- References -- Data-Driven Approach for Investigation of Irradiation Hardening Behavior of RAFM Steel -- 1 Introduction -- 2 Data Set Construction -- 3 Model Construction and Application -- 3.1 Machine Learning Method -- 3.2 Feature Descriptor -- 3.3 Model Construction -- 3.4 Knowledge Reasoning and Prediction -- 4 Conclusion -- References -- Deep-to-Bottom Weights Decay: A Systemic Knowledge Review Learning Technique for Transformer Layers in Knowledge Distillation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Word Embedding Distillation -- 3.2 Transformer Layer Distillation with Review Mechanism -- 3.3 Prediction Distillation -- 3.4 Total Loss -- 4 Experimental Setup -- 4.1 Experimental Data -- 4.2 Implementation Details -- 4.3 Baseline Methods -- 5 Experimental Results -- 5.1 Main Results -- 5.2 Strategy Comparison -- 6 Conclusions -- References -- Topic and Reference Guided Keyphrase Generation from Social Media -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Retriever -- 3.2 Encoder with Heterogeneous Graph -- 3.3 Contextual Neural Topic Model -- 3.4 Topic-Reference-Aware Decoder -- 3.5 Jointly Training -- 4 Experiment Settings -- 4.1 Datasets -- 4.2 Comparisons and Evaluation -- 4.3 Implementation Details -- 5 Results and Analysis -- 5.1 Performance of Keyphrase Generation -- 5.2 Prediction of Present and Absent Keyphrase -- 5.3 Ablation Study.
5.4 Influence of the Number of Topics -- 5.5 Case Study -- 6 Conclusion -- References -- DISEL: A Language for Specifying DIS-Based Ontologies -- 1 Introduction -- 2 Background -- 2.1 Domain Information System -- 2.2 Illustrative Example -- 3 Literature Review on Languages for Ontologies -- 3.1 Functional Languages -- 3.2 XML-Based Languages -- 3.3 Other Ontology Languages -- 3.4 Summary -- 4 DISEL Syntax and Support Tool -- 4.1 DISEL Editor Interface Overview -- 4.2 Name and Include Constructs -- 4.3 AtomDomain Construct -- 4.4 Concept -- 4.5 Graph -- 5 Design Decisions -- 6 Discussion -- 7 Conclusion and Future Work -- References -- MSSA-FL: High-Performance Multi-stage Semi-asynchronous Federated Learning with Non-IID Data -- 1 Introduction -- 2 Related Work -- 3 MSSA-FL: Multi-stage Semi-asynchronous Federated Learning -- 3.1 Framework Overview -- 3.2 Combination Module and Multi-stage Training -- 3.3 Semi-asynchronous Training -- 3.4 Model Assignment -- 3.5 Model Aggregation -- 4 Experiment -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 5 Conclusion -- References -- A GAT-Based Chinese Text Classification Model: Using of Redical Guidance and Association Between Characters Across Sentences -- 1 Introduction -- 2 Methodology -- 2.1 Problem Definition -- 2.2 Technical Details of Classification Model -- 3 Evaluation -- 3.1 Dataset Description -- 3.2 Baeline -- 3.3 Experimental Results -- 3.4 Ablation Study -- 4 Conclusion -- References -- Incorporating Explanations to Balance the Exploration and Exploitation of Deep Reinforcement Learning -- 1 Introduction -- 2 Preliminaries -- 2.1 Reinforcement Learning -- 2.2 Variational Inference -- 3 Proposed Method -- 3.1 Network Architecture -- 3.2 Explanation of Actions with Activation Maps -- 3.3 Fusion Activation Maps and States -- 3.4 Encoding the Fused State with Variational Inference.
4 Experiments and Results -- 4.1 Environment and Experimental Settings -- 4.2 Comparisons with Benchmark Algorithms -- 4.3 Analysis of Explainability -- 5 Conclusion -- References -- CLINER: Clinical Interrogation Named Entity Recognition -- 1 Introduction -- 2 Proposed Method -- 2.1 Model Design -- 3 Experiments -- 3.1 Baselines and Evaluation Metrics -- 3.2 Experimental Settings -- 3.3 Results and Analysis -- 4 Conclusion -- References -- CCDC: A Chinese-Centric Cross Domain Contrastive Learning Framework -- 1 Introduction -- 2 Related Work -- 2.1 Contrastive Learning -- 2.2 Unsupervised SimCSE -- 2.3 Supervised SimCSE -- 2.4 Sentence Contrastive Learning with PLMs -- 3 CCDC Framework -- 3.1 Cross-Domain Sentences as Hard-Negative Samples -- 3.2 Hard NLI Data Builder -- 3.3 Soft NLI Data Builder -- 4 Experiment -- 4.1 Data Preparation -- 4.2 Training Details -- 4.3 CCDC with One-Domain Training and In-Domain/Out-Domain Testing -- 4.4 CCDC with the Hard/Soft NLI Data Builder -- 5 Analysis -- 6 Conclusion -- 7 Appendix -- 7.1 CCDC with Different PLM and Different Pooling Layer -- 7.2 Case Analysis -- References -- A Multi-objective Optimization Method for Joint Feature Selection and Classifier Parameter Tuning -- 1 Introduction -- 2 Problem Formulation -- 3 The Proposed Approach -- 3.1 Traditional MOGWO -- 3.2 IMOGWO -- 4 Experimental Results and Analysis -- 4.1 Datasets and Setups -- 4.2 Feature Selection Results -- 5 Conclusion -- References -- Word Sense Disambiguation Based on Memory Enhancement Mechanism -- 1 Introduction -- 2 Related Word -- 2.1 Knowledge-Based WSD -- 2.2 Supervised WSD -- 3 Methodology -- 3.1 Task Definition -- 3.2 Model Architecture -- 3.3 Context-Encoder and Gloss-Encoder Units -- 3.4 Memory-Enhancement Unit -- 3.5 Prediction Unit -- 4 Experiments -- 4.1 Dataset -- 4.2 Implementation Details.
4.3 Comparison with the State-of-the-Art Baselines.
Record Nr. UNINA-9910585774603321
Cham, Switzerland : , : Springer, , [2022]
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Lo trovi qui: Univ. Federico II
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