Time Expression and Named Entity Recognition
Time Expression and Named Entity Recognition

Author: Xiaoshi Zhong

Publisher: Springer Nature

Published: 2021-08-23

Total Pages: 113

ISBN-13: 3030789616

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This book presents a synthetic analysis about the characteristics of time expressions and named entities, and some proposed methods for leveraging these characteristics to recognize time expressions and named entities from unstructured text. For modeling these two kinds of entities, the authors propose a rule-based method that introduces an abstracted layer between the specific words and the rules, and two learning-based methods that define a new type of tagging scheme based on the constituents of the entities, different from conventional position-based tagging schemes that cause the problem of inconsistent tag assignment. The authors also find that the length-frequency of entities follows a family of power-law distributions. This finding opens a door, complementary to the rank-frequency of words, to understand our communicative system in terms of language use.

Evaluation of Multilingual and Multi-modal Information Retrieval
Evaluation of Multilingual and Multi-modal Information Retrieval

Author: Paul Clough

Publisher: Springer

Published: 2007-09-04

Total Pages: 1019

ISBN-13: 3540749993

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This book constitutes the thoroughly refereed postproceedings of the 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, held in Alicante, Spain, September 2006. The revised papers presented together with an introduction were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on Multilingual Textual Document Retrieval, Domain-Specifig Information Retrieval, i-CLEF, QA@CLEF, ImageCLEF, CLSR, WebCLEF and GeoCLEF.

Advances in Scalable and Intelligent Geospatial Analytics
Advances in Scalable and Intelligent Geospatial Analytics

Author: Surya S Durbha

Publisher: CRC Press

Published: 2023-05-12

Total Pages: 423

ISBN-13: 1000877485

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Geospatial data acquisition and analysis techniques have experienced tremendous growth in the last few years, providing an opportunity to solve previously unsolved environmental- and natural resource-related problems. However, a variety of challenges are encountered in processing the highly voluminous geospatial data in a scalable and efficient manner. Technological advancements in high-performance computing, computer vision, and big data analytics are enabling the processing of big geospatial data in an efficient and timely manner. Many geospatial communities have already adopted these techniques in multidisciplinary geospatial applications around the world. This book is a single source that offers a comprehensive overview of the state of the art and future developments in this domain. FEATURES Demonstrates the recent advances in geospatial analytics tools, technologies, and algorithms Provides insight and direction to the geospatial community regarding the future trends in scalable and intelligent geospatial analytics Exhibits recent geospatial applications and demonstrates innovative ways to use big geospatial data to address various domain-specific, real-world problems Recognizes the analytical and computational challenges posed and opportunities provided by the increased volume, velocity, and veracity of geospatial data This book is beneficial to graduate and postgraduate students, academicians, research scholars, working professionals, industry experts, and government research agencies working in the geospatial domain, where GIS and remote sensing are used for a variety of purposes. Readers will gain insights into the emerging trends on scalable geospatial data analytics.

Brain Informatics
Brain Informatics

Author: Peipeng Liang

Publisher: Springer Nature

Published: 2019-12-05

Total Pages: 280

ISBN-13: 303037078X

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This book constitutes the refereed proceedings of the 12th International Conference on Brain Informatics, BI 2019, held in Haikou, China, in December 2019. The 26 revised full papers were carefully reviewed and selected from 36 submissions. The papers are organized in the following topical sections: cognitive and computational foundations of brain science; human information processing systems; brain big data analysis, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain-inspired computing. Also included is a special session on computational social analysis for mental health.

Genetic and Evolutionary Computing
Genetic and Evolutionary Computing

Author: Jeng-Shyang Pan

Publisher: Springer

Published: 2016-10-20

Total Pages: 320

ISBN-13: 3319484907

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This book gathers papers presented at the 10th International Conference on Genetic and Evolutionary Computing (ICGEC 2016). The conference was co-sponsored by Springer, Fujian University of Technology in China, the University of Computer Studies in Yangon, University of Miyazaki in Japan, National Kaohsiung University of Applied Sciences in Taiwan, Taiwan Association for Web Intelligence Consortium, and VSB-Technical University of Ostrava, Czech Republic. The ICGEC 2016, which was held from November 7 to 9, 2016 in Fuzhou City, China, was intended as an international forum for researchers and professionals in all areas of genetic and evolutionary computing.

Proceedings of the First International Conference on Applied Mathematics, Statistics, and Computing (ICAMSAC 2023)
Proceedings of the First International Conference on Applied Mathematics, Statistics, and Computing (ICAMSAC 2023)

Author: Komang Dharmawan

Publisher: Springer Nature

Published: 2024

Total Pages: 277

ISBN-13: 9464634138

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Zusammenfassung: This is an open access book. ICAMSAC 2023 Theme: Application of Mathematics and Computing in Multidisciplinary Research With Scope Application of Mathematics and Computing in Multidisciplinary Research The Subject Scope of The Conference Mathematical modeling, optimization, numerical analysis, differential equations, mathematical physics, and mathematical biology. probability theory, statistical modeling, experimental design, data visualization, multivariate analysis, machine learning, and applications of statistics in various domains such as finance, healthcare, social sciences, and engineering, cloud computing, programming languages, algorithms, artificial intelligence, data mining, high-performance computing, scientific computing, numerical simulations, and computational modeling. ICAMSAC 2023 aims to bring together leading academic scientists, researchers, andresearch scholars to exchance and share their experiences and research results on all aspects of Mathematics, Statistics, and Computing. It also provides a platform researchers, practitioners, and educators to present and discuss recent innovations, current issues, trends, and challenges faced

Web Information Systems and Applications
Web Information Systems and Applications

Author: Guojun Wang

Publisher: Springer Nature

Published: 2020-09-22

Total Pages: 674

ISBN-13: 3030600297

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This book constitutes the proceedings of the 17th International Conference on Web Information Systems and Applications, WISA 2020, held in Guangzhou, China, in September 2020. The 42 full papers and 16 short papers presented were carefully reviewed and selected from 165 submissions. The papers are grouped in topical sections on world wide web, recommendation, query processing and algorithm, natural language processing, machine learning, graph query, edge computing and data mining, data privacy and security, and blockchain.

Domain-Sensitive Temporal Tagging
Domain-Sensitive Temporal Tagging

Author: Jannik Strötgen

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 133

ISBN-13: 3031021630

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This book covers the topic of temporal tagging, the detection of temporal expressions and the normalization of their semantics to some standard format. It places a special focus on the challenges and opportunities of domain-sensitive temporal tagging. After providing background knowledge on the concept of time, the book continues with a comprehensive survey of current research on temporal tagging. The authors provide an overview of existing techniques and tools, and highlight key issues that need to be addressed. This book is a valuable resource for researchers and application developers who need to become familiar with the topic and want to know the recent trends, current tools and techniques, as well as different application domains in which temporal information is of utmost importance. Due to the prevalence of temporal expressions in diverse types of documents and the importance of temporal information in any information space, temporal tagging is an important task in natural language processing (NLP), and applications of several domains can benefit from the output of temporal taggers to provide more meaningful and useful results. In recent years, temporal tagging has been an active field in NLP and computational linguistics. Several approaches to temporal tagging have been proposed, annotation standards have been developed, gold standard data sets have been created, and research competitions have been organized. Furthermore, some temporal taggers have also been made publicly available so that temporal tagging output is not just exploited in research, but is finding its way into real world applications. In addition, this book particularly focuses on domain-specific temporal tagging of documents. This is a crucial aspect as different types of documents (e.g., news articles, narratives, and colloquial texts) result in diverse challenges for temporal taggers and should be processed in a domain-sensitive manner.

Computer Supported Cooperative Work and Social Computing
Computer Supported Cooperative Work and Social Computing

Author: Yuqing Sun

Publisher: Springer Nature

Published: 2022-07-19

Total Pages: 650

ISBN-13: 9811945462

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The two-volume set CCIS 1491 and 1492 constitutes the refereed post-conferenceproceedings of the 16th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2021, held in Xiangtan, China, November 26–28, 2021. The conference was held in a hybrid mode i.e. online and on-site in Xiangtan due to the COVID-19 crisis. The 65 revised full papers and 22 revised short papers were carefully reviewed and selected from 242 submissions. The papers are organized in the following topical sections: Volume I: Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications; Volume II: Crowd Intelligence and Crowd Cooperative Computing; Social Media and Online Communities.

Organizations and Social Networking: Utilizing Social Media to Engage Consumers
Organizations and Social Networking: Utilizing Social Media to Engage Consumers

Author: Li, Eldon Y.

Publisher: IGI Global

Published: 2013-05-31

Total Pages: 445

ISBN-13: 1466640278

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The modern business landscape demands that organizations maintain an online presence to network with their customers and investors. Therefore, understanding the link between social media and e-business is an important first step in cultivating these internet-based relationships. Organizations and Social Networking: Utilizing Social Media to Engage Consumers provides a broad investigation into the use of social technologies in business practices through theoretical research and practical applications. This book explores the opportunities and challenges brought about by the advent of various 21st century online business web tools and platforms, presenting professionals and researchers in e-business, social marketing, online collaborative communities, and social analytics with cutting-edge information and technological developments to implement in their own enterprises. This book is part of the Advances in Marketing, Customer Relationship Management, and E-Services series collection.