Autor Jose, Joemon M.
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Documentos disponibles escritos por este autor (3)
Hacer una sugerencia Refinar búsqueda42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part I / Jose, Joemon M. ; Yilmaz, Emine ; Magalhães, João ; Castells, Pablo ; Ferro, Nicola ; Silva, Mário J. ; Martins, Flávio
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
TÃtulo : 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part II 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: XXXIX, 682 p. 244 ilustraciones, 107 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-45442-5 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 Inteligencia artificial Gestión de base de datos Procesamiento de datos Interfaces de usuario (sistemas informáticos) La interacción persona-ordenador Almacenamiento y recuperación de información Aplicaciones informáticas y de sistemas de información MinerÃa de datos y descubrimiento de conocimientos Interfaces de usuario e interacción persona-computadora 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: Reproducibility Papers -- Knowledge Graph Entity Alignment with Graph Neural Networks: Lessons Learned -- The Effect of Content-Equivalent Near-Duplicates on the Evaluation of Search Engines -- From MaxScore to Block-Max WAND: The Story of How Lucene Significantly Improved Query Evaluation Performance -- Which BM25 Do You Mean? A Large-Scale Reproducibility Study of Scoring Variants -- The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study -- Reproducibility is a Process, not an Achievement: The Replicability of IR Reproducibility Experiments -- On the Replicability of Combining Word Embeddings and Retrieval Models -- Influence of Random Walk Parametrization on Graph Embeddings -- Short Papers -- Calling attention to passages for biomedical question answering -- Neural Embedding-based Metrics for Pre-Retrieval Query Performance Prediction -- A Latent Model for Ad Hoc Table Retrieval -- Hybrid Semantic Recommender System for Chemical Compounds -- Assessing the Impact of OCR Errors in Information Retrieval -- Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions -- Machine-actionable data management plans: A knowledge retrieval approach to automate the assessment of funders' requirements -- Session-based Path Prediction by Combining Local and Global Content Preferences -- Unsupervised Ensemble of Ranking Models for News Comments Using Pseudo Answers -- Irony Detection in a Multilingual Context -- Document Network Projection in Pretrained Word Embedding Space -- Supervised Learning Methods for Diversification of Image Search Results -- ANTIQUE: A Non-Factoid Question Answering Benchmark -- Neural Query-biased Abstractive Summarization Using Copying Mechanism -- Distant Supervision for Extractive Question Summarization -- Text-Image-Video Summary Generation using Joint Integer Linear Programming -- Domain Adaptation via Context Prediction for Engineering Diagram Search -- Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias -- Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings -- A Multi-task Approach to Open Domain Suggestion Mining using Language Model for Text Over-sampling -- MedLinker: Medical Entity Linking with Neural Representations and Dictionary Matching -- Ranking Significant Discrepancies in Clinical Reports -- Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning -- Semi-Supervised Extractive Question Summarization Using Question-Answer Pairs -- Utilizing Temporal Psycholinguistic Cues for Suicidal Intent Estimation -- PMD: An Optimal Transportation-based User Distance for Recommender Systems -- On Biomedical Named Entity Recognition: Experiments in Bilingual Transfer for Clinical and Social Media Texts -- SlideImages: A Dataset for Educational Image Classification -- Rethinking Query Expansion for BERT Reranking -- Personalized Video Summarization based exclusively on User Preferences -- SentiInc :Incorporating Sentiment Information into Sentiment Transfer without Parallel Data -- Dualism in Topical Relevance -- Keyphrase Extraction as Sequence Labeling using Contextualized Embeddings -- Easing Legal News Monitoring with Learning to Rank and BERT -- Generating query suggestions for cross-language and cross-terminology health information retrieval -- Identifying Notable News Stories -- BERT for Evidence Retrieval and Claim Verification -- BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation Extraction -- On the Temporality of Priors in Entity Linking -- Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization -- DAKE: Document-level Attention for Keyphrase Extraction -- Understanding depression from psycholinguistic patterns in social media Texts -- Predicting the Size of Candidate Document Set for Implicit Web Search Result Diversification -- Aspect-based Academic Search using Domain-specific KB -- Dynamic Heterogeneous Graph Embedding using Hierarchical Attentions -- DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations -- Demonstration Papers -- A Web-based Platform for Mining and Ranking Association Rules -- Army ANT: A Workbench for Innovation in Entity-Oriented Search -- A Search Engine for Police Press Releases to Double-check the News -- Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results -- Revisionista.PT: Uncovering the News Cycle using Web Archives -- MathSeer: A Math-Aware Search Interface with Intuitive Formula Editing, Reuse, and Lookup -- NLPExplorer: Exploring the Universe of NLP Papers -- Personal Research Assistant for Online Exploration of Historical News -- QISS : an open source image similarity search engine -- EveSense: What can you sense from Twitter? -- CLEF Organizers Lab Track -- CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims on Social Media -- Shared Tasks on Authorship Analysis at PAN 2020 -- Touché: FirstShared Task on Argument Retrieval -- Introducing the CLEF 2020 HIPE Shared Task: Named Entity Recognition and Linking on Historical Newspapers -- ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications -- LifeCLEF 2020 Teaser: Biodiversity Identification and Prediction Challenges -- BioASQ at CLEF2020: Large-scale biomedical semantic indexing and question answering -- eRisk 2020: self-harm and depression challenges -- Finding Old Answers to New Math Questions: The ARQMath Lab at CLEF 2020 -- ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents -- Living Labs for Academic Search at CLEF 2020 -- CLEF eHealth Evaluation Lab 2020 -- Doctoral Consortium Papers -- Reproducible Online Search Experiments -- Graph-Based Entity-Oriented Search: A Unified Framework in Information Retrieval -- Graph databases for Information Retrieval -- Towards a better Contextualization of Web Contents via Entity-level Analytics -- Incremental Approach for Automatic Generation of Domain-Specific Sentiment Lexicon -- Time-Critical Geolocation for Social Good -- Bibliometric-Enhanced Legal Information Retrieval -- Workshops -- International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020) -- Bibliometric-enhanced Information Retrieval 10th Anniversary Workshop Edition -- The 3rd International Workshop on Narrative Extraction from Texts (Text2Story'20) (full day) -- Semantic Indexing and Information Retrieval for Health from heterogeneous content types and languages -- Tutorials -- Principle-to-program: neural methods for similar question retrieval in online communities -- Text Meets Space: Geographic Content Extraction, Resolution and Information Retrieval -- The Role of Entity Repositories in Information Retrieval. 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 II [documento electrónico] / Jose, Joemon M., ; Yilmaz, Emine, ; Magalhães, João, ; Castells, Pablo, ; Ferro, Nicola, ; Silva, Mário J., ; Martins, Flávio, . - 1 ed. . - [s.l.] : Springer, 2020 . - XXXIX, 682 p. 244 ilustraciones, 107 ilustraciones en color.
ISBN : 978-3-030-45442-5
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 Inteligencia artificial Gestión de base de datos Procesamiento de datos Interfaces de usuario (sistemas informáticos) La interacción persona-ordenador Almacenamiento y recuperación de información Aplicaciones informáticas y de sistemas de información MinerÃa de datos y descubrimiento de conocimientos Interfaces de usuario e interacción persona-computadora 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: Reproducibility Papers -- Knowledge Graph Entity Alignment with Graph Neural Networks: Lessons Learned -- The Effect of Content-Equivalent Near-Duplicates on the Evaluation of Search Engines -- From MaxScore to Block-Max WAND: The Story of How Lucene Significantly Improved Query Evaluation Performance -- Which BM25 Do You Mean? A Large-Scale Reproducibility Study of Scoring Variants -- The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study -- Reproducibility is a Process, not an Achievement: The Replicability of IR Reproducibility Experiments -- On the Replicability of Combining Word Embeddings and Retrieval Models -- Influence of Random Walk Parametrization on Graph Embeddings -- Short Papers -- Calling attention to passages for biomedical question answering -- Neural Embedding-based Metrics for Pre-Retrieval Query Performance Prediction -- A Latent Model for Ad Hoc Table Retrieval -- Hybrid Semantic Recommender System for Chemical Compounds -- Assessing the Impact of OCR Errors in Information Retrieval -- Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions -- Machine-actionable data management plans: A knowledge retrieval approach to automate the assessment of funders' requirements -- Session-based Path Prediction by Combining Local and Global Content Preferences -- Unsupervised Ensemble of Ranking Models for News Comments Using Pseudo Answers -- Irony Detection in a Multilingual Context -- Document Network Projection in Pretrained Word Embedding Space -- Supervised Learning Methods for Diversification of Image Search Results -- ANTIQUE: A Non-Factoid Question Answering Benchmark -- Neural Query-biased Abstractive Summarization Using Copying Mechanism -- Distant Supervision for Extractive Question Summarization -- Text-Image-Video Summary Generation using Joint Integer Linear Programming -- Domain Adaptation via Context Prediction for Engineering Diagram Search -- Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias -- Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings -- A Multi-task Approach to Open Domain Suggestion Mining using Language Model for Text Over-sampling -- MedLinker: Medical Entity Linking with Neural Representations and Dictionary Matching -- Ranking Significant Discrepancies in Clinical Reports -- Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning -- Semi-Supervised Extractive Question Summarization Using Question-Answer Pairs -- Utilizing Temporal Psycholinguistic Cues for Suicidal Intent Estimation -- PMD: An Optimal Transportation-based User Distance for Recommender Systems -- On Biomedical Named Entity Recognition: Experiments in Bilingual Transfer for Clinical and Social Media Texts -- SlideImages: A Dataset for Educational Image Classification -- Rethinking Query Expansion for BERT Reranking -- Personalized Video Summarization based exclusively on User Preferences -- SentiInc :Incorporating Sentiment Information into Sentiment Transfer without Parallel Data -- Dualism in Topical Relevance -- Keyphrase Extraction as Sequence Labeling using Contextualized Embeddings -- Easing Legal News Monitoring with Learning to Rank and BERT -- Generating query suggestions for cross-language and cross-terminology health information retrieval -- Identifying Notable News Stories -- BERT for Evidence Retrieval and Claim Verification -- BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation Extraction -- On the Temporality of Priors in Entity Linking -- Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization -- DAKE: Document-level Attention for Keyphrase Extraction -- Understanding depression from psycholinguistic patterns in social media Texts -- Predicting the Size of Candidate Document Set for Implicit Web Search Result Diversification -- Aspect-based Academic Search using Domain-specific KB -- Dynamic Heterogeneous Graph Embedding using Hierarchical Attentions -- DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations -- Demonstration Papers -- A Web-based Platform for Mining and Ranking Association Rules -- Army ANT: A Workbench for Innovation in Entity-Oriented Search -- A Search Engine for Police Press Releases to Double-check the News -- Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results -- Revisionista.PT: Uncovering the News Cycle using Web Archives -- MathSeer: A Math-Aware Search Interface with Intuitive Formula Editing, Reuse, and Lookup -- NLPExplorer: Exploring the Universe of NLP Papers -- Personal Research Assistant for Online Exploration of Historical News -- QISS : an open source image similarity search engine -- EveSense: What can you sense from Twitter? -- CLEF Organizers Lab Track -- CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims on Social Media -- Shared Tasks on Authorship Analysis at PAN 2020 -- Touché: FirstShared Task on Argument Retrieval -- Introducing the CLEF 2020 HIPE Shared Task: Named Entity Recognition and Linking on Historical Newspapers -- ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications -- LifeCLEF 2020 Teaser: Biodiversity Identification and Prediction Challenges -- BioASQ at CLEF2020: Large-scale biomedical semantic indexing and question answering -- eRisk 2020: self-harm and depression challenges -- Finding Old Answers to New Math Questions: The ARQMath Lab at CLEF 2020 -- ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents -- Living Labs for Academic Search at CLEF 2020 -- CLEF eHealth Evaluation Lab 2020 -- Doctoral Consortium Papers -- Reproducible Online Search Experiments -- Graph-Based Entity-Oriented Search: A Unified Framework in Information Retrieval -- Graph databases for Information Retrieval -- Towards a better Contextualization of Web Contents via Entity-level Analytics -- Incremental Approach for Automatic Generation of Domain-Specific Sentiment Lexicon -- Time-Critical Geolocation for Social Good -- Bibliometric-Enhanced Legal Information Retrieval -- Workshops -- International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020) -- Bibliometric-enhanced Information Retrieval 10th Anniversary Workshop Edition -- The 3rd International Workshop on Narrative Extraction from Texts (Text2Story'20) (full day) -- Semantic Indexing and Information Retrieval for Health from heterogeneous content types and languages -- Tutorials -- Principle-to-program: neural methods for similar question retrieval in online communities -- Text Meets Space: Geographic Content Extraction, Resolution and Information Retrieval -- The Role of Entity Repositories in Information Retrieval. 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
TÃtulo : Advances in Information Retrieval : 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings Tipo de documento: documento electrónico Autores: Jose, Joemon M., ; Hauff, Claudia, ; Altıngovde, Ismail Sengor, ; Song, Dawei, ; Albakour, Dyaa, ; Watt, Stuart, ; Tait, John, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XXXI, 799 p. 146 ilustraciones ISBN/ISSN/DL: 978-3-319-56608-5 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 Gestión de base de datos Procesamiento de datos Sistemas multimedia Procesamiento del lenguaje natural (Informática) Ciencias sociales Almacenamiento y recuperación de información MinerÃa de datos y descubrimiento de conocimientos Sistemas de información multimedia Procesamiento del lenguaje natural (PNL) Aplicación informática en ciencias sociales y del comportamiento Ãndice Dewey: 025.04 Sistemas de almacenamiento y recuperación de información Resumen: Este libro constituye las actas arbitradas de la 39.ª Conferencia europea sobre investigación en RI, ECIR 2017, celebrada en Aberdeen, Reino Unido, en abril de 2017. Los 36 artÃculos completos y 47 artÃculos tipo póster presentados junto con 5 resúmenes fueron cuidadosamente revisados ​​y seleccionados entre 248 presentaciones. . Siendo el principal foro europeo para la presentación de nuevos resultados de investigación en el campo de la recuperación de información, ECIR presenta una amplia gama de temas tales como: TeorÃa y práctica de RI; Aprendizaje profundo e IR; RI web y redes sociales; Aspectos del Usuario; Arquitecturas de sistemas de infrarrojos; Representación y Procesamiento de Contenidos; Evaluación; IR multimedia y cross-media; Aplicaciones. Nota de contenido: IR Theory and Practice -- Deep Learning and IR -- Web and Social Media IR -- User Aspects -- IR System Architectures -- Content Representation and Processing -- Evaluation -- Multimedia and Cross-Media IR -- Applications. 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 Advances in Information Retrieval : 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings [documento electrónico] / Jose, Joemon M., ; Hauff, Claudia, ; Altıngovde, Ismail Sengor, ; Song, Dawei, ; Albakour, Dyaa, ; Watt, Stuart, ; Tait, John, . - 1 ed. . - [s.l.] : Springer, 2017 . - XXXI, 799 p. 146 ilustraciones.
ISBN : 978-3-319-56608-5
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 Gestión de base de datos Procesamiento de datos Sistemas multimedia Procesamiento del lenguaje natural (Informática) Ciencias sociales Almacenamiento y recuperación de información MinerÃa de datos y descubrimiento de conocimientos Sistemas de información multimedia Procesamiento del lenguaje natural (PNL) Aplicación informática en ciencias sociales y del comportamiento Ãndice Dewey: 025.04 Sistemas de almacenamiento y recuperación de información Resumen: Este libro constituye las actas arbitradas de la 39.ª Conferencia europea sobre investigación en RI, ECIR 2017, celebrada en Aberdeen, Reino Unido, en abril de 2017. Los 36 artÃculos completos y 47 artÃculos tipo póster presentados junto con 5 resúmenes fueron cuidadosamente revisados ​​y seleccionados entre 248 presentaciones. . Siendo el principal foro europeo para la presentación de nuevos resultados de investigación en el campo de la recuperación de información, ECIR presenta una amplia gama de temas tales como: TeorÃa y práctica de RI; Aprendizaje profundo e IR; RI web y redes sociales; Aspectos del Usuario; Arquitecturas de sistemas de infrarrojos; Representación y Procesamiento de Contenidos; Evaluación; IR multimedia y cross-media; Aplicaciones. Nota de contenido: IR Theory and Practice -- Deep Learning and IR -- Web and Social Media IR -- User Aspects -- IR System Architectures -- Content Representation and Processing -- Evaluation -- Multimedia and Cross-Media IR -- Applications. 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
