Document Clustering in Large German Corpora Using Natural Language Processing PDF Download

Author: Richard Forster
Publisher:
ISBN:
Category :
Languages : en
Pages : 263

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Author: Chris Biemann
Publisher: Springer Science & Business Media
ISBN: 3642259235
Category : Computers
Languages : en
Pages : 194

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Book Description
Current language technology is dominated by approaches that either enumerate a large set of rules, or are focused on a large amount of manually labelled data. The creation of both is time-consuming and expensive, which is commonly thought to be the reason why automated natural language understanding has still not made its way into “real-life” applications yet. This book sets an ambitious goal: to shift the development of language processing systems to a much more automated setting than previous works. A new approach is defined: what if computers analysed large samples of language data on their own, identifying structural regularities that perform the necessary abstractions and generalisations in order to better understand language in the process? After defining the framework of Structure Discovery and shedding light on the nature and the graphic structure of natural language data, several procedures are described that do exactly this: let the computer discover structures without supervision in order to boost the performance of language technology applications. Here, multilingual documents are sorted by language, word classes are identified, and semantic ambiguities are discovered and resolved without using a dictionary or other explicit human input. The book concludes with an outlook on the possibilities implied by this paradigm and sets the methods in perspective to human computer interaction. The target audience are academics on all levels (undergraduate and graduate students, lecturers and professors) working in the fields of natural language processing and computational linguistics, as well as natural language engineers who are seeking to improve their systems.

Author: R. Röhrig
Publisher: IOS Press
ISBN: 1643684299
Category : Medical
Languages : en
Pages : 288

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The Covid-19 pandemic affected the daily lives of all of us on many levels. Epidemiology suddenly became a personal matter and general interest in many aspects of medical data science became much more widespread. And physical distance became the new normal. This book presents the full paper part of the proceedings of GMDS 2023, the 68th annual meeting of the German Association for Medical Informatics, Biometry and Epidemiology, held from 17 to 21 September 2023 in Heilbronn, Germany. The theme of the conference was, Science. Close to People, a particularly appropriate theme for the first of these annual conferences to be held face-to-face since 2019. A total of 227 scientific contributions were submitted to GMDS 2023, including 41 full papers for this volume in Studies in HTI. Of these, 30 papers are included here, following a rigorous two-stage review process, which represents an acceptance rate of 73%. The 30 papers in this book are grouped under 8 headings: FAIRification; research software engineering for research infrastructure & study data management; human factors; data quality; clinical decision support & artificial intelligence; evaluation of healthcare IT; biosignals; and interoperability. Providing a broad overview of current developments in the disciplines of medical informatics, biometry and epidemiology, the book will be of interest to all those working in these fields.

Author: Chris Biemann
Publisher: Springer
ISBN: 3319126555
Category : Computers
Languages : en
Pages : 243

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Book Description
This book comprises a set of articles that specify the methodology of text mining, describe the creation of lexical resources in the framework of text mining and use text mining for various tasks in natural language processing (NLP). The analysis of large amounts of textual data is a prerequisite to build lexical resources such as dictionaries and ontologies and also has direct applications in automated text processing in fields such as history, healthcare and mobile applications, just to name a few. This volume gives an update in terms of the recent gains in text mining methods and reflects the most recent achievements with respect to the automatic build-up of large lexical resources. It addresses researchers that already perform text mining, and those who want to enrich their battery of methods. Selected articles can be used to support graduate-level teaching. The book is suitable for all readers that completed undergraduate studies of computational linguistics, quantitative linguistics, computer science and computational humanities. It assumes basic knowledge of computer science and corpus processing as well as of statistics.

Author: Abdelkader Hameurlain
Publisher: Springer Nature
ISBN: 3662696037
Category :
Languages : en
Pages : 162

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Author: Anne Kao
Publisher: Springer Science & Business Media
ISBN: 1846287545
Category : Computers
Languages : en
Pages : 272

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Book Description
Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.

Author: Helmut Horacek
Publisher: Springer Science & Business Media
ISBN: 3642125492
Category : Computers
Languages : en
Pages : 334

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Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Applications of Natural Language to Information Systems, NLDB 2009, held in Saarbrücken, Germany, in June 2009.

Author: J. Bichel-Findlay
Publisher: IOS Press
ISBN: 1643684574
Category : Medical
Languages : en
Pages : 1676

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Book Description
Science-fiction author William Gibson is famously quoted as saying, “The future is already here – it's just not very evenly distributed.” During the Covid pandemic, telehealth and remote monitoring were elevated from interesting innovations to essential tools in many healthcare systems, but not all countries had the infrastructure necessary to pivot quickly, amply demonstrating the negative consequences of the digital divide. This book presents the proceedings of MedInfo 2023, the 19th World Congress on Medical and Health Informatics, held from 8 – 12 July 2023 in Sydney, Australia. This series of biennial conferences provides a platform for the discussion of applied approaches to data, information, knowledge, and wisdom in health and wellness. The theme and title of MedInfo 2023 was The Future is Accessible, but the digital divide is a major concern for health and care-informatics professionals, whether because of global economic disparities, digital literacy gaps, or limited access to reliable information about health. A total of 935 submissions were received for the conference, of which 228 full papers, 43 student papers and 117 posters were accepted following a thorough peer-review process involving 279 reviewers. Topics covered include: information and knowledge management; quality, safety and outcomes; health data science; human, organizational and social aspects; and global health informatics. Significant advances in artificial intelligence, machine learning, augmented reality, virtual reality, and genomics hold great hope for future healthcare planning, delivery, management, education, evaluation, and research, and this book will be of interest to all those working to not only exploit the benefits of these technologies, but also to identify ways to overcome their associated challenges.

Author: Serge Sharoff
Publisher: Springer Nature
ISBN: 3031313844
Category : Computers
Languages : en
Pages : 138

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Book Description
This book provides a comprehensive overview of methods to build comparable corpora and of their applications, including machine translation, cross-lingual transfer, and various kinds of multilingual natural language processing. The authors begin with a brief history on the topic followed by a comparison to parallel resources and an explanation of why comparable corpora have become more widely used. In particular, they provide the basis for the multilingual capabilities of pre-trained models, such as BERT or GPT. The book then focuses on building comparable corpora, aligning their sentences to create a database of suitable translations, and using these sentence translations to produce dictionaries and term banks. Then, it is explained how comparable corpora can be used to build machine translation engines and to develop a wide variety of multilingual applications.

Author: Myra Spiliopoulou
Publisher: Springer Science & Business Media
ISBN: 9783540313137
Category : Language Arts & Disciplines
Languages : en
Pages : 788

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Book Description
This volume collects revised versions of papers presented at the 29th Annual Conference of the Gesellschaft für Klassifikation, the German Classification Society, held at the Otto-von-Guericke-University of Magdeburg, Germany, in March 2005. In addition to traditional subjects like Classification, Clustering, and Data Analysis, converage extends to a wide range of topics relating to Computer Science: Text Mining, Web Mining, Fuzzy Data Analysis, IT Security, Adaptivity and Personalization, and Visualization.