| 書目名稱 | Natural Language Understanding in a Semantic Web Context | | 編輯 | Caroline Barrière | | 視頻video | http://file.papertrans.cn/662/661856/661856.mp4 | | 概述 | Shows how NLP techniques can be exploited for semantic processing, information extraction and knowledge acquisition.Presents standard algorithms and fundamental concepts for various text analysis task | | 圖書封面 |  | | 描述 | .This book serves as a starting point for Semantic Web (SW) students and researchers interested in discovering what Natural Language Processing (NLP) has to offer. NLP can effectively help uncover the large portions of data held as unstructured text in natural language, thus augmenting the real content of the Semantic Web in a significant and lasting way. The book covers the basics of NLP, with a focus on Natural Language Understanding (NLU), referring to semantic processing, information extraction and knowledge acquisition, which are seen as the key links between the SW and NLP communities. Major emphasis is placed on mining sentences in search of entities and relations. In the course of this “quest", challenges will be encountered for various text analysis tasks, including part-of-speech tagging, parsing, semantic disambiguation, named entity recognition and relation extraction. Standard algorithms associated with these tasks are presented to provide an understanding of the fundamental concepts. Furthermore, the importance of experimental design and result analysis is emphasized, and accordingly, most chapters include small experiments on corpus data with quantitative and qualita | | 出版日期 | Textbook 2016 | | 關(guān)鍵詞 | Natural Language Processing; Semantic Web; Linguistics; knowledge acquisition; Information Systems | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-41337-2 | | isbn_softcover | 978-3-319-82327-0 | | isbn_ebook | 978-3-319-41337-2 | | copyright | Springer International Publishing Switzerland 2016 |
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