Natural Language Processing and Information Systems: 26th International Conference on Applications of Natural Language to Information Systems, Nldb 20, Mйtais Elisabeth, Meziane Farid, Horacek Helmut
Описание: Medical informatics lies at the intersection of computer science and medicine, and understanding critical aspects of both fields provides for more proficient practitioners. Biomedical Informatics: An Introduction to Information Systems and Software in Medicine and Health supplies a cohesive narrative of the multidisciplinary concepts linking the field.This complete medical informatics textbook begins by reviewing the IT aspects of informatics, including systems architecture, electronic health records, interoperability, privacy and security, cloud computing, mobile healthcare, imaging, data capture, and design issues. Next, the text provides case studies that demonstrate the roll out of electronic health records (EHRs) in hospitals.The third section incorporates four anatomy and physiology lectures that focus on the physiological basis behind data captured in EHRs. Examples include detailed descriptions of the heart and electrical systems, lungs and alveoli, and oxygen exchange.The book includes a primer on the theoretical concepts that underpin the science behind medical informatics, including an Anatomy & Physiology Essentials guide. It also contains a tutorial on application development to help students understand the tools for improving user interfaces for EHRs on mobile platforms.The author uses a student-friendly organizational structure that supplies students with a clear demarcation between essential and optional material. The text supplies clear delineation between Level I, the basic concepts every biomedical informatics professional needs to master; Level II, applied concepts and examples; and Level III, advanced topics. This format allows undergraduate and graduate instructors and professionals in the field to focus quickly on the essential topics, and if interested, delve into Level III advanced topics.The book includes links to documents and standards sources so students can explore each idea described in more detail. Instructor’s manual, solutions manual, videos, figure slides, and lecture slides are available upon qualified course adoption.
Описание: Full Papers.- Extraction of Statements in News for a Media Response Analysis.- Sentiment-Based Ranking of Blog Posts Using Rhetorical Structure Theory.- Automatic Detection of Ambiguous Terminology for Software Requirements.- An OpenCCG-Based Approach to Question Generation from Concepts.- A Hybrid Approach for Arabic Diacritization.- EDU-Based Similarity for Paraphrase Identification.- Exploiting Query Logs and Field-Based Models to Address Term Mismatch in an HIV/AIDS FAQ Retrieval System.- Exploring Domain-Sensitive Features for Extractive Summarization in the Medical Domain.- A Corpus-Based Approach for the Induction of Ontology Lexica.- SQUALL: A Controlled Natural Language as Expressive as SPARQL 1.1.- Evaluating Syntactic Sentence Compression for Text Summarisation.- An Unsupervised Aspect Detection Model for Sentiment Analysis of Reviews.- Cross-Lingual Natural Language Querying over the Web of Data.- Extractive Text Summarization: Can We Use the Same Techniques for Any Text?.- Unsupervised Medical Subject Heading Assignment Using Output Label Co-occurrence Statistics and Semantic Predications.- Bayesian Model Averaging and Model Selection for Polarity Classification.- An Approach for Extracting and Disambiguating Arabic Persons' Names Using Clustered Dictionaries and Scored Patterns.- ANEAR: Automatic Named Entity Aliasing Resolution.- Improving Candidate Generation for Entity Linking.- Person Name Recognition Using the Hybrid Approach.- A Broadly Applicable and Flexible Conceptual Metagrammar as a Basic Tool for Developing a Multilingual Semantic Web.- Short Papers.- MOSAIC: A Cohesive Method for Orchestrating Discrete Analytics in a Distributed Model.- Ranking Search Intents Underlying a Query.- Linguistic Sentiment Features for Newspaper Opinion Mining.- Text Classification of Technical Papers Based on Text Segmentation.- Product Features Categorization Using Constrained Spectral Clustering.- A New Approach for Improving Cross-Document Knowledge Discovery Using Wikipedia.- Using Grammar-Profiles to Intrinsically Expose Plagiarism in Text Documents.- Feature Selection Methods in Persian Sentiment Analysis.- Towards the Refinement of the Arabic Soundex.- An RDF-Based Semantic Index.- Experiments in Producing Playful "Explanations" for Given Names (Anthroponyms) in Hebrew and English.- Collaborative Enrichment of Electronic Dictionaries Standardized-LMF.- Enhancing Machine Learning Results for Semantic Relation Extraction.- GenDesc: A Partial Generalization of Linguistic Features for Text Classification.- Entangled Semantics.- Poster Papers.- Phrase Table Combination Deficiency Analyses in Pivot-Based SMT.- Analysing Customers Sentiments: An Approach to Opinion Mining and Classification of Online Hotel Reviews.- An Improved Discriminative Category Matching in Relation Identification.- Extracting Fine-Grained Entities Based on Coordinate Graph.- NLP-Driven Event Semantic Ontology Modeling for Story.- The Development of an Ontology for Reminiscence.- Chinese Sentence Analysis Based on Linguistic Entity-Relationship Model.- A Dependency Graph Isomorphism for News Sentence Searching.- Unsupervised Gazette Creation Using Information Distance.- A Multi-purpose Online Toolset for NLP Applications.- A Test-Bed for Text-to-Speech-Based Pedestrian Navigation Systems.- Automatic Detection of Arabic Causal Relations.- A Framework for Employee Appraisals Based on Inductive Logic Programming and Data Mining Methods.- A Method for Improving Business Intelligence Interpretation through the Use of Semantic Technology.- Code Switch Point Detection in Arabic.- SurveyCoder: A System for Classification of Survey Responses.- Rhetorical Representation and Vector Representation in Summarizing Arabic Text.
Автор: Elisabeth M?tais; Farid Meziane; Sunil Vadera; Vij Название: Natural Language Processing and Information Systems ISBN: 3030232808 ISBN-13(EAN): 9783030232801 Издательство: Springer Рейтинг: Цена: 9222.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, held in Salford, UK, in June 2019. The 21 full papers and 16 short papers were carefully reviewed and selected from 75 submissions. The papers are organized in the following topical sections: argumentation mining and applications; deep learning, neural languages and NLP; social media and web analytics; question answering; corpus analysis; semantic web, open linked data, and ontologies; natural language in conceptual modeling; natural language and ubiquitous computing; and big data and business intelligence.
The three-volume set LNCS 12681-12683 constitutes the proceedings of the 26th International Conference on Database Systems for Advanced Applications, DASFAA 2021, held in Taipei, Taiwan, in April 2021.
The total of 156 papers presented in this three-volume set was carefully reviewed and selected from 490 submissions.
The topic areas for the selected papers include information retrieval, search and recommendation techniques; RDF, knowledge graphs, semantic web, and knowledge management; and spatial, temporal, sequence, and streaming data management, while the dominant keywords are network, recommendation, graph, learning, and model. These topic areas and keywords shed the light on the direction where the research in DASFAA is moving towards.
Due to the Corona pandemic this event was held virtually.
Автор: Sumathi S, Janani M Название: Neural Networks for Natural Language Processing ISBN: 179981159X ISBN-13(EAN): 9781799811596 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 34373.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Information in today's advancing world is rapidly expanding and becoming widely available. This eruption of data has made handling it a daunting and time-consuming task. Natural language processing (NLP) is a method that applies linguistics and algorithms to large amounts of this data to make it more valuable. NLP improves the interaction between humans and computers, yet there remains a lack of research that focuses on the practical implementations of this trending approach. Neural Networks for Natural Language Processing is a collection of innovative research on the methods and applications of linguistic information processing and its computational properties. This publication will support readers with performing sentence classification and language generation using neural networks, apply deep learning models to solve machine translation and conversation problems, and apply deep structured semantic models on information retrieval and natural language applications. While highlighting topics including deep learning, query entity recognition, and information retrieval, this book is ideally designed for research and development professionals, IT specialists, industrialists, technology developers, data analysts, data scientists, academics, researchers, and students seeking current research on the fundamental concepts and techniques of natural language processing.
Автор: Chris Biemann; Siegfried Handschuh; Andr? Freitas; Название: Natural Language Processing and Information Systems ISBN: 3319195808 ISBN-13(EAN): 9783319195803 Издательство: Springer Рейтинг: Цена: 8944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The papers cover the following topics: information extraction, distributional semantics, querying and question answering systems, context-aware NLP, cognitive and semantic computing, sentiment and opinion analysis, information extraction and social media, NLP and usability, text classification and extraction, and posters and demonstrations.
Автор: Mokrane Bouzeghoub; Zoubida Kedad; Elisabeth Metai Название: Natural Language Processing and Information Systems ISBN: 3540419438 ISBN-13(EAN): 9783540419433 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: These are the refereed post-proceedings of the 5th International Conference on Application of Natural Language to Information Systems, NLDB 2000, held in Versailles, France, in June 2000.
The three-volume set LNCS 12681-12683 constitutes the proceedings of the 26th International Conference on Database Systems for Advanced Applications, DASFAA 2021, held in Taipei, Taiwan, in April 2021.
The total of 156 papers presented in this three-volume set was carefully reviewed and selected from 490 submissions.
The topic areas for the selected papers include information retrieval, search and recommendation techniques; RDF, knowledge graphs, semantic web, and knowledge management; and spatial, temporal, sequence, and streaming data management, while the dominant keywords are network, recommendation, graph, learning, and model. These topic areas and keywords shed the light on the direction where the research in DASFAA is moving towards.
Due to the Corona pandemic this event was held virtually.
Автор: Sumathi S, Janani M Название: Neural Networks for Natural Language Processing ISBN: 1799811603 ISBN-13(EAN): 9781799811602 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 26334.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Information in today's advancing world is rapidly expanding and becoming widely available. This eruption of data has made handling it a daunting and time-consuming task. Natural language processing (NLP) is a method that applies linguistics and algorithms to large amounts of this data to make it more valuable. NLP improves the interaction between humans and computers, yet there remains a lack of research that focuses on the practical implementations of this trending approach. Neural Networks for Natural Language Processing is a collection of innovative research on the methods and applications of linguistic information processing and its computational properties. This publication will support readers with performing sentence classification and language generation using neural networks, apply deep learning models to solve machine translation and conversation problems, and apply deep structured semantic models on information retrieval and natural language applications. While highlighting topics including deep learning, query entity recognition, and information retrieval, this book is ideally designed for research and development professionals, IT specialists, industrialists, technology developers, data analysts, data scientists, academics, researchers, and students seeking current research on the fundamental concepts and techniques of natural language processing.
Автор: Helmut Horacek; Elisabeth Metais; Rafael Munoz; Ma Название: Natural Language Processing and Information Systems ISBN: 3642125492 ISBN-13(EAN): 9783642125492 Издательство: Springer Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Watrous, John (university Of Waterloo, Ontario) Название: The theory of quantum information ISBN: 1107180562 ISBN-13(EAN): 9781107180567 Издательство: Cambridge Academ Рейтинг: Цена: 11563.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Intended for graduate students and researchers, this book presents a formal development of the mathematical theory of quantum information. Largely self-contained, with clear proofs and a wide range of exercises, it will help the reader grasp the fundamental facts and techniques that form the mathematical foundations of the subject.
Автор: Jie Shan, Charles K. Toth (Editors) Название: Topographic laser ranging and scanning ISBN: 1498772277 ISBN-13(EAN): 9781498772273 Издательство: Taylor&Francis Рейтинг: Цена: 33686.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive discussion of topographic LiDAR principles, systems, data acquisition, and data processing techniques. Ranging and scanning fundamentals, and broad, contemporary analysis of airborne LiDAR systems, as well as those situated on land and in space are covered.
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