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
- Title:
- 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)
- Main Title:
- Advances in information retrieval 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings.
- 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 WhyIntro -- 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 … (more)
- 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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- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- British Library HMNTS - ELD.DS.508510
- Ingest File:
- 03_085.xml