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Advances in Information Retrieval : 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part I / edited by Joemon M. Jose, Emine Yilmaz, João Magalhães, Pablo Castells, Nicola Ferro, Mário J. Silva, Flávio Martins.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 12035
- Information Systems and Applications, incl. Internet/Web, and HCI ; 12035
- Language:
- English
- Subjects (All):
- Information storage and retrieval systems.
- Application software.
- Database management.
- Artificial intelligence.
- Social sciences-Data processing.
- Data mining.
- Information Storage and Retrieval.
- Computer and Information Systems Applications.
- Database Management.
- Artificial Intelligence.
- Computer Application in Social and Behavioral Sciences.
- Data Mining and Knowledge Discovery.
- Local Subjects:
- Information Storage and Retrieval.
- Computer and Information Systems Applications.
- Database Management.
- Artificial Intelligence.
- Computer Application in Social and Behavioral Sciences.
- Data Mining and Knowledge Discovery.
- Physical Description:
- 1 online resource (XLV, 870 pages) : 481 illustrations, 149 illustrations in color.
- Edition:
- 1st ed. 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- This two-volume set LNCS 12035 and 12036 constitutes the refereed proceedings of the 42nd European Conference on IR Research, ECIR 2020, held in Lisbon, Portugal, in April 2020.* The 55 full papers presented together with 8 reproducibility papers, 46 short papers, 10 demonstration papers, 12 invited CLEF papers, 7 doctoral consortium papers, 4 workshop papers, and 3 tutorials were carefully reviewed and selected from 457 submissions. They were organized in topical sections named: Part I: deep learning I; entities; evaluation; recommendation; information extraction; deep learning II; retrieval; multimedia; deep learning III; queries; IR - general; question answering, prediction, and bias; and deep learning IV. Part II: reproducibility papers; short papers; demonstration papers; CLEF organizers lab track; doctoral consortium papers; workshops; and tutorials. *Due to the COVID-19 pandemic, this conference was held virtually.
- Contents:
- Deep Learning I
- Seed-guided Deep Document Clustering
- Improving Knowledge Graph Embedding using Locally and Globally Attentive Relation Paths
- ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis
- Variational Recurrent Sequence-to-Sequence Retrieval for Stepwise Illustration
- A Hierarchical Model for Data-to-Text Generation
- Entities
- Context-guided Learning to Rank Entities
- Graph-Embedding Empowered Entity Retrieval
- Learning Advanced Similarities and Training Features for Toponym Interlinking
- Patch-based Identification of Lexical Semantic Relations
- Joint Word and Entity Embeddings for Entity Retrieval from a Knowledge Graph
- Evaluation
- Evaluating the Effectiveness of the Standard Insights Extraction Pipeline for Bantu Languages
- Recommendation
- Axiomatic Analysis of Contact Recommendation Methods in Social Networks: an IR perspective
- Recommending Music Curators: A Neural Style-Aware Approach
- Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation
- Semantic Modelling of Citation Contexts for Context-aware Citation Recommendation
- TransRev: Modeling Reviews as Translations from Users to Items
- Information Extraction
- Domain-independent Extraction of Scientific Concepts from Research Articles
- Leveraging Schema Labels to Enhance Dataset Search
- Moving from formal towards coherent concept analysis: why, when and how
- Beyond Modelling: Understanding Mental Disorders in Online Social Media
- Deep Learning II
- Learning based Methods for Code Runtime Complexity Prediction
- Inductive Document Network Embedding with Topic-Word Attention
- Multi-components system for automatic Arabic diacritization
- A Mixed Semantic Features Model for Chinese NER with Characters and Words
- VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification
- Retrieval
- A Computational Approach for Objectively Derived Systematic Review Search Strategies
- You Can Teach an Old Dog New Tricks: Rank Fusion applied to Coordination Level Matching for Ranking in Systematic Reviews
- Counterfactual Online Learning to Rank
- A Framework for Argument Retrieval: Ranking Argument Clusters by Frequency and Specificity
- Relevance Ranking based on Query-Aware Context Analysis
- Multimedia
- Multimodal Entity Linking for Tweets
- MEMIS: Multimodal Emergency Management Information System
- Interactive Learning for Multimedia at Large
- Visual Re-ranking via Adaptive Collaborative Hypergraph Learning for Image Retrieval
- Motion Words: A Text-like Representation of 3D Skeleton Sequences
- Deep Learning III
- Reinforced Rewards Framework for Text Style Transfer
- Recognizing Semantic Relations: Attention-Based Transformers vs. Recurrent Models
- Early detection of rumours on Twitter via stance transfer learning
- Learning to Rank Images with Cross-Modal Graph Convolutions
- Diagnosing BERT with Retrieval Heuristics
- Queries
- Generation of Synthetic Query Auto Completion Logs
- What Can Task Teach Us About Query Reformulations?
- A Regularised Intent Model for Discovering Multiple Intents in E-Commerce Tail Queries
- Utilising Information Foraging Theory for User Interaction with Image Query Auto-Completion
- Using Image Captions and Multitask Learning for Recommending Query Reformulations
- IR - general
- Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking
- Accelerating Substructure Similarity Search for Formula Retrieval
- Quantum-like Structure in Multidimensional Relevance Judgements
- Question Answering, Prediction, and Bias
- Temporal Latent Space Modeling for Community Prediction
- KvGR: A Graph-Based Interface for Explorative Sequential Question Answering on Heterogeneous Information Sources
- Answering Event-Related Questions over Long-term News Article Archives
- bias goggles - Graph-based Computation of the Bias of Web Domains through the Eyes of Users
- Deep Learning IV
- Biconditional Generative Adversarial Networks for Multiview Learning with Missing Views
- Semantic Path-Based Learning for Review Volume Prediction
- An Attention Model of Customer Expectation to Improve Review Helpfulness Prediction.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-45439-5
- 9783030454395
- Access Restriction:
- Restricted for use by site license.
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