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Abstract Meaning Representation (AMR) Annotation Release 3.0
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Abstract Meaning Representation (AMR) Annotation Release 3.0 ...
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Knight, Kevin; Badarau, Bianca; Baranescu, Laura; Bonial, Claire; Griffitt, Kira; Hermjakob, Ulf; Marcu, Daniel; O'Gorman, Tim; Palmer, Martha; Schneider, Nathan; Bardocz, Madalina. - : Linguistic Data Consortium, 2020
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Abstract:
Introduction Abstract Meaning Representation (AMR) Annotation Release 3.0 was developed by the Linguistic Data Consortium (LDC), SDL/Language Weaver, Inc., the University of Colorado's Computational Language and Educational Research group and the Information Sciences Institute at the University of Southern California. It contains a sembank (semantic treebank) of over 59,255 English natural language sentences from broadcast conversations, newswire, weblogs, web discussion forums, fiction and web text. This release adds new data to, and updates material contained in, Abstract Meaning Representation 2.0 (LDC2017T10), specifically: more annotations on new and prior data, new or improved PropBank-style frames, enhanced quality ...
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URL: https://dx.doi.org/10.35111/44cy-bp51 https://catalog.ldc.upenn.edu/LDC2020T02
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Abstract Meaning Representation (AMR) Annotation Release 2.0
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Abstract Meaning Representation (AMR) Annotation Release 2.0 ...
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Abstract Meaning Representation (AMR) Annotation Release 1.0
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Abstract Meaning Representation (AMR) Annotation Release 1.0 ...
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Induction of Word and Phrase Alignments for Automatic Document Summarization ...
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ISI Chinese-English Automatically Extracted Parallel Text ...
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ISI Arabic-English Automatically Extracted Parallel Text ...
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Scalable Inference and Training of Context-Rich Syntactic Translation Models
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Scalable Inference and Training of Context-Rich Syntactic Translation Models ...
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