2019 · 22 citations · 12 references
Language StudiesComputer ScienceEnglishComputational LinguisticsNatural Language ProcessingSemanticsAnnotationCorpus AnnotationMeaning RepresentationNatural Language UnderstandingSentence MeaningWord MeaningAbstract Meaning RepresentationCorpus Annotation SchemesCorpus Compilation For TranslationLanguage Representation SystemsLexical Resource EvaluationSemantic Knowledge Representation
Meaning Representation (AMR) is a recent and prominent semantic representation with good acceptance and several applications in the Natural Language Processing area. For English, there is a large annotated corpus (with approximately 39K sentences) that supports the research with the representation. However, to the best of our knowledge, there is only one restricted corpus for Portuguese, which contains 1,527 sentences. In this context, this paper presents an effort to build a general purpose AMR-annotated corpus for Brazilian Portuguese by translating and adapting AMR English guidelines. Our results show that such approach is feasible, but there are some challenging phenomena to solve. More than this, efforts are necessary to increase the coverage of the corresponding lexical resource that supports the annotation.
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Abstract Meaning Representation for Sembanking
Laura Banarescu, Claire Bonial, Shu Cai et al. · Edinburgh Research Explorer (University of Edinburgh) · 2013 · 1.1K citations · Full text
Developing a large semantically annotated corpus
Valerio Basile, Johan Bos, Kilian Evang et al. · 2012 · 115 citations · Full text
Cross-Lingual Abstract Meaning Representation Parsing
Marco Damonte, Shay B. Cohen · 2018 · 66 citations · Full text
Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech
Nianwen Xue, Ondřej Bojar, Jan Hajič et al. · 2014 · 62 citations · Full text