Stars2: a corpus of object descriptions in a visual domain (2017)
- Authors:
- Autor USP: PARABONI, IVANDRE - EACH
- Unidade: EACH
- DOI: 10.1007/s10579-016-9350-y
- Assunto: LINGUAGEM NATURAL
- Language: Inglês
- Imprenta:
- Source:
- Título: Language Resources and Evaluation
- ISSN: 1574-020X
- Volume/Número/Paginação/Ano: v. 51, n. 2, p. 439-462, jun. 2017
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
PARABONI, Ivandré e GALINDO, Michelle Reis e IACOVELLI, Douglas. Stars2: a corpus of object descriptions in a visual domain. Language Resources and Evaluation, v. 51, n. ju 2017, p. 439-462, 2017Tradução . . Disponível em: https://doi.org/10.1007/s10579-016-9350-y. Acesso em: 11 jan. 2026. -
APA
Paraboni, I., Galindo, M. R., & Iacovelli, D. (2017). Stars2: a corpus of object descriptions in a visual domain. Language Resources and Evaluation, 51( ju 2017), 439-462. doi:10.1007/s10579-016-9350-y -
NLM
Paraboni I, Galindo MR, Iacovelli D. Stars2: a corpus of object descriptions in a visual domain [Internet]. Language Resources and Evaluation. 2017 ; 51( ju 2017): 439-462.[citado 2026 jan. 11 ] Available from: https://doi.org/10.1007/s10579-016-9350-y -
Vancouver
Paraboni I, Galindo MR, Iacovelli D. Stars2: a corpus of object descriptions in a visual domain [Internet]. Language Resources and Evaluation. 2017 ; 51( ju 2017): 439-462.[citado 2026 jan. 11 ] Available from: https://doi.org/10.1007/s10579-016-9350-y - Zoom: a corpus of natural language descriptions of map locations
- Generating spatial referring expressions in interactive 3D worlds
- Lausanne: a framework for collaborative online NLP experiments
- Extracting surface realisation templates from Corpora
- Reference and the facilitation of search in spatial domains
- Portuguese text generation from large corpora
- Using overspecified descriptions to help people find their way in spatial domains
- EACH-USP Ensemble Cross-Domain Authorship Attribution
- Author profiling using word embeddings with subword information
- Improved text generation using N-gram statistics
Informações sobre o DOI: 10.1007/s10579-016-9350-y (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
