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Generalized Shortest-Paths Encoders for AMR-to-Text Generation ...
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Unsupervised Bilingual Lexicon Induction Across Writing Systems ...
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Semantic Neural Machine Translation Using AMR
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In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 19-31 (2019) (2019)
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Addressing the Data Sparsity Issue in Neural AMR Parsing ...
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Simultaneous Word-Morpheme Alignment for Statistical Machine Translation ...
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Simultaneous Word-Morpheme Alignment for Statistical Machine Translation ...
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Using latent information for natural language processing tasks
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Semantic Role Labeling
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Abstract:
This book is aimed at providing an overview of several aspects of semantic role labeling. Chapter 1 begins with linguistic background on the definition of semantic roles and the controversies surrounding them. Chapter 2 describes how the theories have led to structured lexicons such as FrameNet, VerbNet and the PropBank Frame Files that in turn provide the basis for large scale semantic annotation of corpora. This data has facilitated the development of automatic semantic role labeling systems based on supervised machine learning techniques. Chapter 3 presents the general principles of applyin
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Keyword:
Computing and Computers
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URL: http://cds.cern.ch/record/1486492
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On word alignment models for statistical machine translation
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