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Titlebook: Information Extraction: Algorithms and Prospects in a Retrieval Context; Marie-Francine Moens Book 2006 Springer Science+Business Media B.

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書目名稱Information Extraction: Algorithms and Prospects in a Retrieval Context
編輯Marie-Francine Moens
視頻videohttp://file.papertrans.cn/466/465035/465035.mp4
概述Comprehensive overview of current and past technology for information extraction.Innovative integration of information extraction and retrieval.Novel avenues for research and algorithmic development.F
叢書名稱The Information Retrieval Series
圖書封面Titlebook: Information Extraction: Algorithms and Prospects in a Retrieval Context;  Marie-Francine Moens Book 2006 Springer Science+Business Media B.
描述.Currently, there is a considerable interest in integrating the results of information extraction in retrieval systems, because of the growing demand for search engines that return precise answers to flexible information queries. Advanced retrieval models satisfy that need and they rely on tools that automatically build a probabilistic model of the content of a (multi-media) document. ..The book focuses on content recognition in text. It elaborates on the past and current most successful algorithms and their application in a variety of domains (e.g., news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text). An important part discusses current statistical and machine learning algorithms for information detection and classification and integrates their results in probabilistic retrieval models. The book also reveals a number of ideas towards an advanced understanding and synthesis of textual content..
出版日期Book 2006
關(guān)鍵詞Berck; DOM; Hidden Markov Model; Information Technology; Performance; algorithms; classification; cognition
版次1
doihttps://doi.org/10.1007/978-1-4020-4993-4
isbn_softcover978-90-481-7246-7
isbn_ebook978-1-4020-4993-4Series ISSN 1871-7500 Series E-ISSN 2730-6836
issn_series 1871-7500
copyrightSpringer Science+Business Media B.V. 2006
The information of publication is updating

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Information Extraction: Algorithms and Prospects in a Retrieval Context978-1-4020-4993-4Series ISSN 1871-7500 Series E-ISSN 2730-6836
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https://doi.org/10.1007/978-1-4020-4993-4Berck; DOM; Hidden Markov Model; Information Technology; Performance; algorithms; classification; cognition
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Book 2006tatistical and machine learning algorithms for information detection and classification and integrates their results in probabilistic retrieval models. The book also reveals a number of ideas towards an advanced understanding and synthesis of textual content..
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’s degree programs. Online content of programs from various academic disciplines and subject areas was investigated by use of a qualitative analysis. The study of CSR (communication) outlined herein attempts to carve out the current status of CSR in education across national borders before offering
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elective-dialogue approach when communicating on Twitter. The paper concludes that a more open dialogic approach to CSR communications on Twitter is not only better perceived than broadcast type communication by stakeholders, but that using stakeholder insights from this platform can aid companies i
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pond to well-aimed criticism, or even anger from the general public. Thus the significance of this book, that not only expands knowledge on new and rapidly evolving areas of corporate responsibility, but which has a broader societal impact beyond academia.
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