Linked Lexical Knowledge Bases: Foundations and Applications
Iryna Gurevych, Judith Eckle-Kohler, Michael Matuschek
- 出版商: Morgan & Claypool
- 出版日期: 2016-07-19
- 售價: $1,880
- 貴賓價: 9.5 折 $1,786
- 語言: 英文
- 頁數: 148
- 裝訂: Paperback
- ISBN: 1627059741
- ISBN-13: 9781627059749
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商品描述
This book conveys the fundamentals of Linked Lexical Knowledge Bases (LLKB) and sheds light on their different aspects from various perspectives, focusing on their construction and use in natural language processing (NLP). It characterizes a wide range of both expert-based and collaboratively constructed lexical knowledge bases. Only basic familiarity with NLP is required and this book has been written for both students and researchers in NLP and related fields who are interested in knowledge-based approaches to language analysis and their applications.
Lexical Knowledge Bases (LKBs) are indispensable in many areas of natural language processing, as they encode human knowledge of language in machine readable form, and as such, they are required as a reference when machines attempt to interpret natural language in accordance with human perception. In recent years, numerous research efforts have led to the insight that to make the best use of available knowledge, the orchestrated exploitation of different LKBs is necessary. This allows us to not only extend the range of covered words and senses, but also gives us the opportunity to obtain a richer knowledge representation when a particular meaning of a word is covered in more than one resource. Examples where such an orchestrated usage of LKBs proved beneficial include word sense disambiguation, semantic role labeling, semantic parsing, and text classification.
This book presents different kinds of automatic, manual, and collaborative linkings between LKBs. A special chapter is devoted to the linking algorithms employing text-based, graph-based, and joint modeling methods. Following this, it presents a set of higher-level NLP tasks and algorithms, effectively utilizing the knowledge in LLKBs. Among them, you will find advanced methods, e.g., distant supervision, or continuous vector space models of knowledge bases (KB), that have become widely used at the time of this book's writing. Finally, multilingual applications of LLKB's, such as cross-lingual semantic relatedness and computer-aided translation are discussed, as well as tools and interfaces for exploring LLKBs, followed by conclusions and future research directions.
商品描述(中文翻譯)
本書傳達了聯結詞彙知識庫(Linked Lexical Knowledge Bases, LLKB)的基本原則,並從不同的角度闡明其各種面向,重點在於其在自然語言處理(Natural Language Processing, NLP)中的建構與應用。它描述了各種專家基礎和協作建構的詞彙知識庫。僅需對NLP有基本的了解,本書適合對知識基礎的語言分析及其應用感興趣的學生和研究者。
詞彙知識庫(Lexical Knowledge Bases, LKBs)在許多自然語言處理領域中是不可或缺的,因為它們以機器可讀的形式編碼了人類對語言的知識,因此在機器試圖根據人類的感知解釋自然語言時,這些知識庫是必需的參考。近年來,許多研究努力使我們意識到,為了充分利用可用的知識,必須協調利用不同的LKBs。這不僅擴展了涵蓋的單詞和意義的範圍,還使我們有機會在特定單詞的意義被多個資源涵蓋時,獲得更豐富的知識表示。這種協調使用LKBs的例子包括詞義消歧、語義角色標註、語義解析和文本分類等。
本書介紹了LKBs之間的不同類型的自動、手動和協作連結。一個特別的章節專門討論使用基於文本、基於圖形和聯合建模方法的連結演算法。接下來,本書呈現了一組更高層次的NLP任務和演算法,有效利用LLKB中的知識。在這些任務中,您將發現一些先進的方法,例如遠程監督或知識庫(Knowledge Bases, KB)的連續向量空間模型,這些方法在本書撰寫時已廣泛使用。最後,討論了LLKB的多語言應用,如跨語言語義相關性和計算機輔助翻譯,以及探索LLKB的工具和介面,隨後是結論和未來的研究方向。