Zoom: a corpus of natural language descriptions of map locations (2015)
- Authors:
- USP affiliated authors: PARABONI, IVANDRE - EACH ; Ferreira, Thi - EACH
- Unidade: EACH
- Subjects: LINGUAGEM NATURAL; INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: ACL
- Publisher place: Stroudsburg
- Date published: 2015
- Source:
- Título do periódico: Proceedings
- Volume/Número/Paginação/Ano: p. 69-75
- Conference titles: Annual Meeting of the Association for Computational Linguistics
-
ABNT
ALTAMIRANO, Romina et al. Zoom: a corpus of natural language descriptions of map locations. 2015, Anais.. Stroudsburg: ACL, 2015. p. 69-75. Disponível em: http://www.aclweb.org/anthology/P15-2012. Acesso em: 24 abr. 2024. -
APA
Altamirano, R., Ferreira, T. C., Paraboni, I., & Benotti, L. (2015). Zoom: a corpus of natural language descriptions of map locations. In Proceedings (p. 69-75). Stroudsburg: ACL. Recuperado de http://www.aclweb.org/anthology/P15-2012 -
NLM
Altamirano R, Ferreira TC, Paraboni I, Benotti L. Zoom: a corpus of natural language descriptions of map locations [Internet]. Proceedings. 2015 ; 69-75.[citado 2024 abr. 24 ] Available from: http://www.aclweb.org/anthology/P15-2012 -
Vancouver
Altamirano R, Ferreira TC, Paraboni I, Benotti L. Zoom: a corpus of natural language descriptions of map locations [Internet]. Proceedings. 2015 ; 69-75.[citado 2024 abr. 24 ] Available from: http://www.aclweb.org/anthology/P15-2012 - EACH-USP Ensemble Cross-Domain Authorship Attribution
- Gerando expressões de referência com a "quantidade certa" de informação
- The design of an experiment in anaphora resolution for referring expressions generation
- Portuguese text generation using factored language models
- Generating relational descriptions involving mutual disambiguation
- Detecção de quebras em diálogos humano-computador
- Combining frequent and discriminating attributes in the generation of definite descriptions
- Using ‘low-cost’ learning features for pronoun resolution
- Portuguese text generation from large corpora
- Using overspecified descriptions to help people find their way in spatial domains
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
