Advances in information retrieval 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings.: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings. Part I (2020)

• Record Type: Book
• Other Titles: ECIR 2020
• Further Information: Note: Joemon M. Jose, Emine Yilmaz, João Magalhães, Pablo Castells, Nicola Ferro, Mário J. Silva, Flávio Martins (eds.).
• Other Names: Jose, Joemon M; (Computer engineer), Yilmaz, Emine; Magalhães, João; Castells, Pablo; Ferro, Nicola; Silva, Mário J; Martins, Flavio; European Conference on IR Research, 42nd
• Contents: Intro -- Preface -- Organization -- Abstracts of Keynotes -- Task-Based Intelligent Retrieval and Recommendation -- Better Representations for Search Tasks -- Focusing the Macroscope: How We Can Use Data to Understand Behavior -- Contents -- Part I -- Contents -- Part II -- Deep Learning I -- Seed-Guided Deep Document Clustering -- 1 Introduction -- 2 Related Work -- 3 Seed-Guided Deep Document Clustering -- 3.1 Training -- 4 Experiments -- 4.1 Results -- 5 Conclusion -- References -- Improving Knowledge Graph Embedding Using Locally and Globally Attentive Relation Paths -- 1 Introduction 2 Preliminaries -- 2.1 Problem Definition -- 2.2 ConvKB -- 3 Our Proposed Model -- 3.1 PConvKB -- 3.2 Measuring Local Importances of Relation Paths by Attention Mechanism -- 3.3 Measuring Global Importances of Relation Paths by Degree-Guided Inverse Path Frequency -- 3.4 Aggregating Feature Maps Using Pooling Operation -- 3.5 Model Training -- 3.6 Complexity Analysis -- 4 Experiments -- 4.1 Datasets -- 4.2 Comparison Methods -- 4.3 Link Prediction -- 4.4 Triple Classification -- 5 Related Work -- 6 Conclusion -- References ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis -- 1 Introduction -- 2 Related Work -- 3 Preliminary -- 3.1 Problem Definition -- 3.2 Explicit Features -- 4 Hierarchical Transformer for Readability Analysis -- 4.1 From Words to Sentences -- 4.2 From Sentences to Articles -- 4.3 Transfer Layer -- 4.4 Learning Objective -- 4.5 Why Hierarchical Self-attention -- 5 Experiments -- 5.1 Datasets -- 5.2 Evaluation -- 5.3 Analysis on Transfer Learning -- 6 Conclusion and Future Work -- References Variational Recurrent Sequence-to-Sequence Retrieval for Stepwise Illustration -- 1 Introduction -- 2 Related Work -- 3 Stepwise Recipe Dataset Construction -- 4 Variational Recurrent Seq2seq (VRSS) Retrieval Model -- 5 Experimental Setup -- 5.1 Models for Comparison -- 5.2 Evaluation Methods -- 6 Results and Discussion -- 6.1 Automatic Evaluation -- 6.2 Human Evaluation -- 7 Conclusion -- References -- A Hierarchical Model for Data-to-Text Generation -- 1 Introduction -- 2 Related Work -- 3 Hierarchical Encoder Model for Data-to-Text -- 3.1 Notation and General Overview 3.2 Hierarchical Encoding Model -- 3.3 Hierarchical Attention -- 4 Experimental Setup -- 4.1 The Rotowire Dataset -- 4.2 Evaluation Metrics -- 4.3 Baselines -- 4.4 Implementation Details -- 5 Results -- 6 Conclusion and Future Work -- References -- Entities -- Context-Guided Learning to Rank Entities -- 1 Introduction -- 2 Related Work -- 2.1 Entity Ranking -- 2.2 Multi-task Learning -- 3 Methodology -- 3.1 Problem Definition -- 3.2 Context-Guided Learning -- 3.3 Context-Guided Learning for Ranking -- 3.4 Context Models -- 4 Experiments -- 4.1 Data -- 4.2 Experimental Settings
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Extent: 1 online resource (896 p.)
• Subjects: 025.0425; Information retrieval -- Congresses; Data mining -- Congresses; Information storage and retrieval systems -- Congresses; Data mining; Information retrieval; Information storage and retrieval systems; Electronic books; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9783030454395; 3030454398
• Related ISBNs: 9783030454388
• Notes: Note: Includes bibliographical references and author index.
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• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.