Generating spatial referring expressions in interactive 3D worlds (2015)
- Authors:
- Autor USP: PARABONI, IVANDRE - EACH
- Unidade: EACH
- DOI: 10.1080/13875868.2015.1039166
- Subjects: LINGUAGEM NATURAL; INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Source:
- Título: Spatial Cognition & Computation
- ISSN: 1387-5868
- Volume/Número/Paginação/Ano: v. 15, n. 3, p. 186-225, jul. 2015
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SILVA, Diego dos Santos e PARABONI, Ivandré. Generating spatial referring expressions in interactive 3D worlds. Spatial Cognition & Computation, v. 15, n. 3, p. 186-225, 2015Tradução . . Disponível em: https://doi.org/10.1080/13875868.2015.1039166. Acesso em: 11 jan. 2026. -
APA
Silva, D. dos S., & Paraboni, I. (2015). Generating spatial referring expressions in interactive 3D worlds. Spatial Cognition & Computation, 15( 3), 186-225. doi:10.1080/13875868.2015.1039166 -
NLM
Silva D dos S, Paraboni I. Generating spatial referring expressions in interactive 3D worlds [Internet]. Spatial Cognition & Computation. 2015 ; 15( 3): 186-225.[citado 2026 jan. 11 ] Available from: https://doi.org/10.1080/13875868.2015.1039166 -
Vancouver
Silva D dos S, Paraboni I. Generating spatial referring expressions in interactive 3D worlds [Internet]. Spatial Cognition & Computation. 2015 ; 15( 3): 186-225.[citado 2026 jan. 11 ] Available from: https://doi.org/10.1080/13875868.2015.1039166 - Zoom: a corpus of natural language descriptions of map locations
- Stars2: a corpus of object descriptions in a visual domain
- 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: 10.1080/13875868.2015.1039166 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
