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306:), comprising whole sentences. They are intended to abstract away from syntactic representations, in the sense that sentences which are similar in meaning should be assigned the same AMR, even if they are not identically worded. By nature, the AMR language is biased towards English – it is not meant to function as an international auxiliary language.
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and this has been their original domain of application. AMRs have re-gained attention since
Banarescu et al. (2013), in particular, this includes the extension to novel tasks such as machine translation and natural language understanding. The modern (post-2010) AMR format preserves the syntax and
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In an extension of the original AMR formalism, Uniform
Meaning Representations (UMR) have been proposed. While grounded in AMR, they eliminate specific characteristics of the English language that are featured in AMR, and are thus more easily applicable cross-linguistically.
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Existing AMR technology includes tools and libraries for parsing, visualization, and surface generation as well as a considerable number of publicly available data sets. Many of these resources are collected at the AMR homepage at
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In addition, they claim that this representation makes the will of the boy more explicit, highlighting that the intention of the boy is that he himself goes away (because `want-01` is the type of the top-level predicate).
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Banarescu, Laura; Bonial, Claire; Cai, Shu; Georgescu, Madalina; Griffitt, Kira; Hermjakob, Ulf; Knight, Kevin; Koehn, Philipp; Palmer, Martha; Schneider, Nathan (2013).
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635:{\displaystyle \exists w,b,g:instance(w,want\_01)\wedge instance(g,go\_01)\wedge instance(b,boy)\wedge arg0(w,b)\wedge arg1(w,g)\wedge arg0(g,b)}
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of the topic and provide significant coverage of it beyond a mere trivial mention. If notability cannot be shown, the article is likely to be
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Abstract
Meaning Representations have originally been introduced by Langkilde and Knight (1998) as a derivation from the Penman
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many syntactic conceptions of the original AMR format but has been thoroughly revised to better align with
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in the style of PropBank. Note that in pre-2010 AMR format, `:arg0` would be `:agent`, etc.
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721:, In COLING 1998 Volume 1: The 17th International Conference on Computational Linguistics
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Banarescu et al. (2013) claim that this is equivalent to the following logical formula:
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739:. Philadelphia, Pennsylvania: Association for Computational Linguistics: 153–158.
733:"A flexible interface for linking applications to Penman's sentence generator"
685:. Sofia, Bulgaria: Association for Computational Linguistics. pp. 178–186
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Proceedings of the
Workshop on Speech and Natural Language - HLT '89
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are concerned, the role inventory of PropBank is largely based on
860:"umr-guidelines/guidelines.md at master · umr4nlp/umr-guidelines"
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Please help to demonstrate the notability of the topic by citing
345:(w / want-01 :arg0 (b / boy) :arg1 (g / go-01 :arg0 b))
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302:. AMR graphs are rooted, labeled, directed, acyclic graphs (
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Generation that
Exploits Corpus-Based Statistical Knowledge
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where AMR technology has been originally developed.
87:. Unsourced material may be challenged and removed.
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717:Langkilde, Irene and Knight, Kevin (1998),
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313:, they are thus continuing a long tradition in
679:Abstract Meaning Representation for Sembanking
817:: CS1 maint: multiple names: authors list (
796:Montréal, RALI, Université de (2021-06-25),
50:Learn how and when to remove these messages
799:GoPhi : an AMR to ENGLISH VERBALIZER
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279:Learn how and when to remove this message
261:Learn how and when to remove this message
147:Learn how and when to remove this message
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833:"Abstract Meaning Representation (AMR)"
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251:February 2017
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867:. Retrieved
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837:amr.isi.edu
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349:As far as
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