| TÃtulo : |
42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part I |
| Tipo de documento: |
documento electrónico |
| Autores: |
Jose, Joemon M., ; Yilmaz, Emine, ; Magalhães, João, ; Castells, Pablo, ; Ferro, Nicola, ; Silva, Mário J., ; Martins, Flávio, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2020 |
| Número de páginas: |
XLV, 870 p. 481 ilustraciones, 149 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-45439-5 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Sistemas de almacenamiento y recuperación de información Software de la aplicacion Gestión de base de datos Inteligencia artificial Ciencias sociales Procesamiento de datos Almacenamiento y recuperación de información Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento MinerÃa de datos y descubrimiento de conocimientos |
| Ãndice Dewey: |
025.04 Sistemas de almacenamiento y recuperación de información |
| Resumen: |
Este conjunto de dos volúmenes LNCS 12035 y 12036 constituye las actas arbitradas de la 42.ª Conferencia europea sobre investigación de RI, ECIR 2020, celebrada en Lisboa, Portugal, en abril de 2020.* Los 55 artÃculos completos presentados junto con 8 artÃculos sobre reproducibilidad y 46 artÃculos breves , 10 artÃculos de demostración, 12 artÃculos CLEF invitados, 7 artÃculos de consorcio doctoral, 4 artÃculos de taller y 3 tutoriales fueron cuidadosamente revisados ​​y seleccionados entre 457 presentaciones. Se organizaron en secciones temáticas denominadas: Parte I: aprendizaje profundo I; entidades; evaluación; recomendación; extracción de información; aprendizaje profundo II; recuperación; multimedia; aprendizaje profundo III; consultas; IR – generales; respuesta a preguntas, predicción y sesgo; y aprendizaje profundo IV. Parte II: documentos de reproducibilidad; artÃculos breves; documentos de demostración; Pista de laboratorio de los organizadores de CLEF; trabajos de consorcio doctoral; Talleres de trabajo; y tutoriales. *Debido a la pandemia de COVID-19, esta conferencia se realizó de manera virtual. |
| Nota de contenido: |
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 RetrievalHeuristics -- 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. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part I [documento electrónico] / Jose, Joemon M., ; Yilmaz, Emine, ; Magalhães, João, ; Castells, Pablo, ; Ferro, Nicola, ; Silva, Mário J., ; Martins, Flávio, . - 1 ed. . - [s.l.] : Springer, 2020 . - XLV, 870 p. 481 ilustraciones, 149 ilustraciones en color. ISBN : 978-3-030-45439-5 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Sistemas de almacenamiento y recuperación de información Software de la aplicacion Gestión de base de datos Inteligencia artificial Ciencias sociales Procesamiento de datos Almacenamiento y recuperación de información Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento MinerÃa de datos y descubrimiento de conocimientos |
| Ãndice Dewey: |
025.04 Sistemas de almacenamiento y recuperación de información |
| Resumen: |
Este conjunto de dos volúmenes LNCS 12035 y 12036 constituye las actas arbitradas de la 42.ª Conferencia europea sobre investigación de RI, ECIR 2020, celebrada en Lisboa, Portugal, en abril de 2020.* Los 55 artÃculos completos presentados junto con 8 artÃculos sobre reproducibilidad y 46 artÃculos breves , 10 artÃculos de demostración, 12 artÃculos CLEF invitados, 7 artÃculos de consorcio doctoral, 4 artÃculos de taller y 3 tutoriales fueron cuidadosamente revisados ​​y seleccionados entre 457 presentaciones. Se organizaron en secciones temáticas denominadas: Parte I: aprendizaje profundo I; entidades; evaluación; recomendación; extracción de información; aprendizaje profundo II; recuperación; multimedia; aprendizaje profundo III; consultas; IR – generales; respuesta a preguntas, predicción y sesgo; y aprendizaje profundo IV. Parte II: documentos de reproducibilidad; artÃculos breves; documentos de demostración; Pista de laboratorio de los organizadores de CLEF; trabajos de consorcio doctoral; Talleres de trabajo; y tutoriales. *Debido a la pandemia de COVID-19, esta conferencia se realizó de manera virtual. |
| Nota de contenido: |
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 RetrievalHeuristics -- 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. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
|  |
42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part I
