Research Challenges in Information Science: 15th International Conference, Rcis 2021, Limassol, Cyprus, May 11-14, 2021, Proceedings, Cherfi Samira, Perini Anna, Nurcan Selmin
Автор: Dalpiaz Fabiano, Zdravkovic Jelena, Loucopoulos Pericles Название: Research Challenges in Information Science: 14th International Conference, Rcis 2020, Limassol, Cyprus, September 23-25, 2020, Proceedings ISBN: 3030503151 ISBN-13(EAN): 9783030503154 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 14th International Conference on Research Challenges in Information Sciences, RCIS 2020, held in Limassol, Cyprus, during September 23-25, 2020.
Evolutionary Landscape and Management of Population Diversity.- Probabilistic Planning in AgentSpeak Using the POMDP -Framework.- Ant-Based System Analysis on the Traveling Salesman Problem Under Real_World Settings.- Verifying Compliance for Business Process Logs with a Hybrid Logic Model Checker.- Smarter Electricity and Argumentation Theory.- Online Argumentation-based Platform for Recommending Medical Literature.- Medical Image Processing: A brief Survey and a New Theoretical Hybrid ACO Model.- Smoke Detection in Environmental Regions by Means of Computer Vision.
Автор: Hong Tzung-Pei, Wojtkiewicz Krystian, Chawuthai Rathachai Название: Recent Challenges in Intelligent Information and Database Systems: 13th Asian Conference, Aciids 2021, Phuket, Thailand, April 7-10, 2021, Proceedings ISBN: 9811616841 ISBN-13(EAN): 9789811616846 Издательство: Springer Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume constitutes the refereed proceedings of the 13th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2021, held in Phuket, Thailand, in April 2021. The total of 35 full papers accepted for publication in these proceedings were carefully reviewed and selected from 291 submissions. network systems and applications;
The 50 full papers presented together with 11 reproducibility papers, 39 short papers, 15 demonstration papers, 12 CLEF lab descriptions papers, 5 doctoral consortium papers, 5 workshop abstracts, and 8 tutorials abstracts were carefully reviewed and selected from 436 submissions.
The accepted contributions cover the state of the art in IR: deep learning-based information retrieval techniques, use of entities and knowledge graphs, recommender systems, retrieval methods, information extraction, question answering, topic and prediction models, multimedia retrieval, and much more.
The 50 full papers presented together with 11 reproducibility papers, 39 short papers, 15 demonstration papers, 12 CLEF lab descriptions papers, 5 doctoral consortium papers, 5 workshop abstracts, and 8 tutorials abstracts were carefully reviewed and selected from 436 submissions.
The accepted contributions cover the state of the art in IR: deep learning-based information retrieval techniques, use of entities and knowledge graphs, recommender systems, retrieval methods, information extraction, question answering, topic and prediction models, multimedia retrieval, and much more.
Автор: La Rosa Marcello, Sadiq Shazia, Teniente Ernest Название: Advanced Information Systems Engineering: 33rd International Conference, Caise 2021, Melbourne, Vic, Australia, June 28 - July 2, 2021, Proceedings ISBN: 3030793818 ISBN-13(EAN): 9783030793814 Издательство: Springer Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 33rd International Conference on Advanced Information Systems Engineering, CAiSE 2021, which was held online during June 28-July 2, 2021. The papers included in these proceedings focus on intelligent information systems and deal with novel approaches to IS engineering;
Автор: Beth R. Bernhardt, Leah H. Hinds, Katina P. Strauch Название: The Importance of Being Earnest: Charleston Conference Proceedings, 2014 ISBN: 1941269036 ISBN-13(EAN): 9781941269039 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 54340.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Over one hundred presentations from the thirty-fourth Charleston Library Conference (held November 5–8, 2014) are included in this annual proceedings volume. Major themes of the meeting included patron-driven acquisitions versus librarian-driven acquisitions; marketing library resources to faculty and students to increase use; measuring and demonstrating the library's role and impact in the retention of students and faculty; the desirability of textbook purchasing by the library; changes in workflows necessitated by the move to virtual collections; the importance of self-publishing and open access publishing as a collection strategy; the hybrid publisher and the hybrid author; the library’s role in the collection of data, datasets, and data curation; and data-driven decision making. While the Charleston meeting remains a core one for acquisitions, serials, and collection development librarians in dialog with publishers and vendors, the breadth of coverage of this volume reflects the fact that the Charleston Conference is now one of the major venues for leaders in the information community to shape strategy and prepare for the future.Over 1,600 delegates attended the 2014 meeting, ranging from the staff of small public library systems to CEOs of major corporations. This fully indexed, copyedited volume provides a rich source for the latest evidence-based research and lessons from practice in a range of information science fields. The contributors are leaders in the library, publishing, and vendor communities.
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 Computa
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 Gr
Автор: Wцrndl Wolfgang, Koo Chulmo, Stienmetz Jason L. Название: Information and Communication Technologies in Tourism 2021: Proceedings of the Enter 2021 Etourism Conference, January 19-22, 2021 ISBN: 3030657841 ISBN-13(EAN): 9783030657840 Издательство: Springer Цена: 37260.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This open access book is the proceedings of the International Federation for IT and Travel & Tourism (IFITT)`s 28th Annual International eTourism Conference, which assembles the latest research presented at the ENTER21@yourplace virtual conference January 19-22, 2021.
