Advances in Engineering Research and Application: Proceedings of the International Conference on Engineering Research and Applications, Icera 2020, Sattler Kai-Uwe, Nguyen Duy Cuong, Vu Ngoc Pi
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
Описание: Do you want to give your students more practice with research methods and statistics outside of class? Then the Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications 2e is for you. Written by Eva Lawrence and Kathrynn Adams, this study guide accompanies the new second edition of Research Methods, Statistics, and Applications. The study guide provides instructions for performing statistical calculations in IBM(R) SPSS (R) along with additional exercises to reinforce concepts in the text. It follows the main text chapter by chapter to provide for easy assigning and studying.
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
Описание: This book reports on recent advances in the rapidly growing field of high-speed water jet technology, discussing research, developments and applications related to cutting, machining, repair of structures and buildings, cleaning, removal of coatings and layers, mining, and abrasive materials.
This book contains the refereed proceedings of the 2nd Advances in Business Research International Conference (ABRIC2016). Chapters in the book address the theme of Advancing Knowledge, Connecting the World, reflecting on the emerging issues in various business management fields and the interconnections of multiple disciplines for creating knowledge advancement. Papers were carefully reviewed and selected and grouped into four main themes: economic and finance, marketing and communications, management, and information technology in business. The book serves as a helpful resource for students and researchers of business management, especially in understanding issues and cases of business in emerging economies and markets.
Описание: This book reports on theoretical and experimental research answering key questions in neuroscience, philosophy of mind, and cognitive research.
Описание: This book discusses latest advances in the area of bioenergy, including algal biomass, biodiesel, bioethanol, biomethanation, pyrolysis, biomass gasification, biomass cook stoves and integrated processes. The volume comprises select proceedings of ICRABR-2016. The contents include cutting-edge research vital to R&D organizations, academics and the industry to promote and document the recent developments in the area of bioenergy for all types of stakeholders. The book highlights the need for biofuels and their market, the barriers and challenges faced by biofuels and bioenergy, and future strategies required to foster new ideas for research, collaboration, and commercialization of bioenergy. It addresses various topics, such as biomass and energy management; thermochemical conversion processes; biochemical conversion processes; catalytic conversion processes; electrochemical processes; waste treatment to harvest energy; and integrated processes. It will prove a valuable resource for students, researchers, professionals and policymakers in the field of biofuels and bioenergy.
Описание: This book includes a selection of articles from The 2018 Multidisciplinary International Conference of Research Applied to Defense and Security (MICRADS`18), held in Salinas, Peninsula de Santa Elena, Ecuador, from April 18 to 20, 2018.
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