| 书目名称 | Information Extraction: Algorithms and Prospects in a Retrieval Context |
| 编辑 | Marie-Francine Moens |
| 视频video | |
| 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 |
| 丛书名称 | The Information Retrieval Series |
| 图书封面 |  |
| 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 |
| 关键词 | Berck; DOM; Hidden Markov Model; Information Technology; Performance; algorithms; classification; cognition |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4020-4993-4 |
| isbn_softcover | 978-90-481-7246-7 |
| isbn_ebook | 978-1-4020-4993-4Series ISSN 1871-7500 Series E-ISSN 2730-6836 |
| issn_series | 1871-7500 |
| copyright | Springer Science+Business Media B.V. 2006 |
发表于 2025-3-21 19:28:04
