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Titlebook: Linked Lexical Knowledge Bases; Foundations and Appl Iryna Gurevych,Judith Eckle-Kohler,Michael Matusch Book 2016 Springer Nature Switzerla

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Iryna Gurevych,Judith Eckle-Kohler,Michael Matuschek
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Iryna Gurevych,Judith Eckle-Kohler,Michael Matuschek
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Iryna Gurevych,Judith Eckle-Kohler,Michael Matuschek
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Iryna Gurevych,Judith Eckle-Kohler,Michael Matuschek
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Lexical Knowledge Bases,t we define our terminology, then we give a broad overview of various kinds of LKBs that play an important role in NLP. For particular resource-specific details, we refer the reader to the respective reference publications.
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Advanced Disambiguation Methods,n Deep Learning on continuous vector space models of KBs and LKBs. We start by introducing the task of . (AKBC), because it is one of the core tasks considered both within distant supervision and vector space modeling of KBs.
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1947-4040 tives, 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
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Book 2016using 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 an
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