| 书目名称 | Structure Discovery in Natural Language | | 编辑 | Chris Biemann | | 视频video | | | 概述 | The book sets an ambitious goal: to shift development of language processing systems to a much more automated setting than previous works.A new approach is defined.All software described is open sourc | | 丛书名称 | Theory and Applications of Natural Language Processing | | 图书封面 |  | | 描述 | .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 | | 出版日期 | Book 2012 | | 关键词 | 68T50, 91F20, 05C82, 62H30,68T05; Applied Computer Science; Computational Linguistics; Natural language | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-25923-4 | | isbn_softcover | 978-3-642-44230-8 | | isbn_ebook | 978-3-642-25923-4Series ISSN 2192-032X Series E-ISSN 2192-0338 | | issn_series | 2192-032X | | copyright | Springer-Verlag Berlin Heidelberg 2012 |
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发表于 2025-3-21 16:15:21
