
handle: 10400.1/28610
Semantic parsing serves as a crucial interface between natural language and formal meaning representations, enabling computational systems to capture the underlying semantic structure of linguistic expressions. This paper addresses a relatively understudied area in both linguistic theory and natural language processing: the semantic representation of adverbs. We conduct a comparative analysis of annotation guidelines and practices across two semantic representation frameworks: Lexicalized Meaning Representation (LMR), applied to the European Portuguese edition of the novella “O Principezinho” by Antoine de Saint-Exupéry (1943); and Abstract Meaning Representation (AMR), applied to the Brazilian Portuguese edition, “O Pequeno Príncipe”. The study reveals significant limitations in AMR’s handling of adverbial constructions, particularly when assessed against contemporary syntactic-semantic advances in linguistic theory. Furthermore, it highlights the theoretical and practical challenges that LMR continues to face in this domain.
The Little Prince, European portuguese, Corpus linguistics, Syntactic-semantic interface, Comparative analysis, Linguistic theory, Natural Language Processing (NLP), Brazilian Portuguese, Lexicalized meaning representation (LMR), The little prince, Natural language processing (NLP), Multi-word expressions, Adverbs, European Portuguese, Abstract meaning representation (AMR), Lexicalized Meaning Representation (LMR), Abstract Meaning Representation (AMR), Semantic representation, Annotation guidelines
The Little Prince, European portuguese, Corpus linguistics, Syntactic-semantic interface, Comparative analysis, Linguistic theory, Natural Language Processing (NLP), Brazilian Portuguese, Lexicalized meaning representation (LMR), The little prince, Natural language processing (NLP), Multi-word expressions, Adverbs, European Portuguese, Abstract meaning representation (AMR), Lexicalized Meaning Representation (LMR), Abstract Meaning Representation (AMR), Semantic representation, Annotation guidelines
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