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Marcio Lima Inácio

Biographic Data

ID2050288
NAMEMarcio Lima Inácio
GIVEN NAMESMarcio Lima
FAMILY NAMEInácio
SIGNATUREINÁCIO M L
AFFILIATIONSUniversidade de Coimbra. Coimbra, Portugal; Universidade de São Paulo, Brasil
ORCID0000-0002-0875-4574
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX0
  • The AMR-PT corpus and the semantic annotation of challenging sentences from journalistic and opinion texts

    Open Access•Marcio Lima Inácio, Marco Antonio Sobrevilla Cabezudo et al.•ARTICLE•DELTA Documentação de Estudos em…•2023•References: 3

    One of the most popular semantic representation languages in Natural Language Processing (NLP) is Abstract Meaning Representation (AMR). This formalism encodes the meaning of single sentences in directed rooted graphs. For English, there is a large annotated corpus that provides qualitative and reusable data for building or improving existing NLP methods and applications. For building AMR corpora for non-English languages, including Brazilian Por…

No prominent works on this page.

  • The AMR-PT corpus and the semantic annotation of challenging sentences from journalistic and opinion texts

    Open Access•Marcio Lima Inácio, Marco Antonio Sobrevilla Cabezudo et al.•ARTICLE•DELTA Documentação de Estudos em…•2023•References: 3

    One of the most popular semantic representation languages in Natural Language Processing (NLP) is Abstract Meaning Representation (AMR). This formalism encodes the meaning of single sentences in directed rooted graphs. For English, there is a large annotated corpus that provides qualitative and reusable data for building or improving existing NLP methods and applications. For building AMR corpora for non-English languages, including Brazilian Por…

Annotation (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Corpus linguistics (1 work) · Linguistics (1 work) · linguistics and terminology studies (1 work) · Natural language processing (1 work) · Natural Language Processing Techniques (1 work) · Portuguese (1 work)

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